The following values were not passed to `accelerate launch` and had defaults used instead:
	`--num_processes` was set to a value of `4`
		More than one GPU was found, enabling multi-GPU training.
		If this was unintended please pass in `--num_processes=1`.
	`--num_machines` was set to a value of `1`
	`--mixed_precision` was set to a value of `'no'`
	`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
Params using prompt template alpaca:
base_model: baichuan-inc/Baichuan2-7B-Base
data_path: ../../data/belle_dolphine/p12.jsonl
output_dir: ../out/lora/p12
batch_size: 32
micro_batch_size: 2
num_epochs: 1
learning_rate: 0.0004
cutoff_len: 4096
val_set_size: 0
lr_scheduler: cosine
warmup_steps: 100
lora_r: 16
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules: ['gate_proj', 'down_proj', 'up_proj']
train_on_inputs: False
add_eos_token: False
group_by_length: False
wandb_project: lora-moe
wandb_run_name: belle_dolphine-p12
wandb_watch: 
wandb_log_model: 
resume_from_checkpoint: False

gradient_accumulation_steps:  4
gradient_accumulation_steps:  4
gradient_accumulation_steps:  4
gradient_accumulation_steps:  4

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pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None
pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None

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pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None
pre-trained model's BOS EOS and PAD token id: 1 2 0  => It should be 1 2 None
trainable params: 23,199,744 || all params: 7,529,172,992 || trainable%: 0.30813137146205183
trainable params: 23,199,744 || all params: 7,529,172,992 || trainable%: 0.30813137146205183

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/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
wandb: Currently logged in as: k-duan (nus_keyu). Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.16.1
wandb: Run data is saved locally in /home/aiops/duanky/lora-moe/experiments/launch_scripts/wandb/run-20231229_074425-39wnh4vr
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run belle_dolphine-p12
wandb: ⭐️ View project at https://wandb.ai/nus_keyu/lora-moe
wandb: 🚀 View run at https://wandb.ai/nus_keyu/lora-moe/runs/39wnh4vr

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  warnings.warn(

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{'loss': 1.9867, 'learning_rate': 4.000000000000001e-06, 'epoch': 0.0}

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{'loss': 1.8734, 'learning_rate': 7.6e-05, 'epoch': 0.0}

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{'loss': 1.7933, 'learning_rate': 8e-05, 'epoch': 0.0}

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{'loss': 2.0163, 'learning_rate': 8.4e-05, 'epoch': 0.0}

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{'loss': 1.9915, 'learning_rate': 8.800000000000001e-05, 'epoch': 0.0}

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{'loss': 1.8712, 'learning_rate': 9.200000000000001e-05, 'epoch': 0.0}

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{'loss': 1.7655, 'learning_rate': 9.6e-05, 'epoch': 0.0}

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{'loss': 1.91, 'learning_rate': 0.0001, 'epoch': 0.0}

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{'loss': 2.0138, 'learning_rate': 0.00010400000000000001, 'epoch': 0.0}

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{'loss': 1.8081, 'learning_rate': 0.00010800000000000001, 'epoch': 0.0}

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{'loss': 1.8079, 'learning_rate': 0.00011200000000000001, 'epoch': 0.0}

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{'loss': 1.882, 'learning_rate': 0.000116, 'epoch': 0.0}

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{'loss': 2.0069, 'learning_rate': 0.00012, 'epoch': 0.0}

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{'loss': 1.8437, 'learning_rate': 0.000124, 'epoch': 0.0}

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{'loss': 1.852, 'learning_rate': 0.00012800000000000002, 'epoch': 0.0}

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{'loss': 1.7443, 'learning_rate': 0.000132, 'epoch': 0.0}

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{'loss': 1.7793, 'learning_rate': 0.00013600000000000003, 'epoch': 0.01}

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{'loss': 1.9135, 'learning_rate': 0.00014, 'epoch': 0.01}

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{'loss': 1.8929, 'learning_rate': 0.000144, 'epoch': 0.01}

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{'loss': 1.9677, 'learning_rate': 0.000148, 'epoch': 0.01}

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{'loss': 2.056, 'learning_rate': 0.000152, 'epoch': 0.01}

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{'loss': 1.7649, 'learning_rate': 0.00015600000000000002, 'epoch': 0.01}

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{'loss': 1.89, 'learning_rate': 0.00016, 'epoch': 0.01}

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{'loss': 1.8011, 'learning_rate': 0.000164, 'epoch': 0.01}

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{'loss': 1.9124, 'learning_rate': 0.000168, 'epoch': 0.01}

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{'loss': 1.9942, 'learning_rate': 0.000172, 'epoch': 0.01}

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{'loss': 1.971, 'learning_rate': 0.00017600000000000002, 'epoch': 0.01}

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{'loss': 1.915, 'learning_rate': 0.00018, 'epoch': 0.01}

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{'loss': 1.8294, 'learning_rate': 0.00018400000000000003, 'epoch': 0.01}

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{'loss': 1.8736, 'learning_rate': 0.000188, 'epoch': 0.01}

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{'loss': 1.7379, 'learning_rate': 0.000192, 'epoch': 0.01}

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{'loss': 1.9866, 'learning_rate': 0.000196, 'epoch': 0.01}

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{'loss': 1.9119, 'learning_rate': 0.0002, 'epoch': 0.01}

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{'loss': 1.9222, 'learning_rate': 0.00020400000000000003, 'epoch': 0.01}

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{'loss': 1.6958, 'learning_rate': 0.00020800000000000001, 'epoch': 0.01}

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{'loss': 2.1636, 'learning_rate': 0.00021200000000000003, 'epoch': 0.01}

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{'loss': 1.928, 'learning_rate': 0.00021600000000000002, 'epoch': 0.01}

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{'loss': 1.8135, 'learning_rate': 0.00022000000000000003, 'epoch': 0.01}

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{'loss': 1.857, 'learning_rate': 0.00022400000000000002, 'epoch': 0.01}

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{'loss': 1.948, 'learning_rate': 0.00022799999999999999, 'epoch': 0.01}

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{'loss': 1.7749, 'learning_rate': 0.000232, 'epoch': 0.01}

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{'loss': 1.8576, 'learning_rate': 0.000236, 'epoch': 0.01}

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{'loss': 1.8794, 'learning_rate': 0.00024, 'epoch': 0.01}

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{'loss': 1.6526, 'learning_rate': 0.000244, 'epoch': 0.01}

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{'loss': 1.7652, 'learning_rate': 0.000248, 'epoch': 0.01}

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{'loss': 1.7747, 'learning_rate': 0.000252, 'epoch': 0.01}

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{'loss': 1.872, 'learning_rate': 0.00025600000000000004, 'epoch': 0.01}

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{'loss': 1.957, 'learning_rate': 0.00026000000000000003, 'epoch': 0.01}

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{'loss': 1.9778, 'learning_rate': 0.000264, 'epoch': 0.01}

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{'loss': 1.6753, 'learning_rate': 0.000268, 'epoch': 0.01}

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{'loss': 1.7244, 'learning_rate': 0.00027200000000000005, 'epoch': 0.01}

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{'loss': 1.917, 'learning_rate': 0.000276, 'epoch': 0.01}

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{'loss': 1.9036, 'learning_rate': 0.00028, 'epoch': 0.01}

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{'loss': 1.7857, 'learning_rate': 0.000284, 'epoch': 0.01}

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{'loss': 1.6636, 'learning_rate': 0.000288, 'epoch': 0.01}

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{'loss': 1.8924, 'learning_rate': 0.000292, 'epoch': 0.01}

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{'loss': 1.92, 'learning_rate': 0.000296, 'epoch': 0.01}

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{'loss': 1.8787, 'learning_rate': 0.00030000000000000003, 'epoch': 0.01}

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{'loss': 1.774, 'learning_rate': 0.000304, 'epoch': 0.01}

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{'loss': 1.8049, 'learning_rate': 0.000308, 'epoch': 0.01}

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{'loss': 1.9016, 'learning_rate': 0.00031200000000000005, 'epoch': 0.01}

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{'loss': 1.7271, 'learning_rate': 0.00031600000000000004, 'epoch': 0.01}

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{'loss': 1.7394, 'learning_rate': 0.00032, 'epoch': 0.01}

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{'loss': 1.9497, 'learning_rate': 0.000324, 'epoch': 0.01}

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{'loss': 1.7302, 'learning_rate': 0.000328, 'epoch': 0.01}

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{'loss': 1.846, 'learning_rate': 0.000332, 'epoch': 0.01}

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{'loss': 1.7626, 'learning_rate': 0.000336, 'epoch': 0.01}

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{'loss': 1.9597, 'learning_rate': 0.00034, 'epoch': 0.01}

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{'loss': 1.7221, 'learning_rate': 0.000344, 'epoch': 0.01}

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{'loss': 1.8593, 'learning_rate': 0.000348, 'epoch': 0.01}

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{'loss': 1.7383, 'learning_rate': 0.00035200000000000005, 'epoch': 0.01}

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{'loss': 1.987, 'learning_rate': 0.00035600000000000003, 'epoch': 0.01}

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{'loss': 1.8862, 'learning_rate': 0.00036, 'epoch': 0.01}

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{'loss': 1.6766, 'learning_rate': 0.000364, 'epoch': 0.01}

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{'loss': 1.8663, 'learning_rate': 0.00036800000000000005, 'epoch': 0.01}

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{'loss': 1.9523, 'learning_rate': 0.00037200000000000004, 'epoch': 0.01}

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{'loss': 1.7663, 'learning_rate': 0.000376, 'epoch': 0.01}

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{'loss': 1.803, 'learning_rate': 0.00038, 'epoch': 0.01}

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{'loss': 1.87, 'learning_rate': 0.000384, 'epoch': 0.01}

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{'loss': 1.9695, 'learning_rate': 0.000388, 'epoch': 0.01}

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{'loss': 1.8292, 'learning_rate': 0.000392, 'epoch': 0.01}

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{'loss': 1.8299, 'learning_rate': 0.00039600000000000003, 'epoch': 0.01}

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{'loss': 1.8092, 'learning_rate': 0.0004, 'epoch': 0.01}

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{'loss': 1.912, 'learning_rate': 0.00039999997787532754, 'epoch': 0.01}

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{'loss': 1.7853, 'learning_rate': 0.00039999991150131497, 'epoch': 0.02}

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{'loss': 1.8775, 'learning_rate': 0.00039999980087797706, 'epoch': 0.02}

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{'loss': 1.786, 'learning_rate': 0.00039999964600533815, 'epoch': 0.02}

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{'loss': 1.8799, 'learning_rate': 0.0003999994468834327, 'epoch': 0.02}

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{'loss': 1.872, 'learning_rate': 0.00039999920351230456, 'epoch': 0.02}

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{'loss': 1.7817, 'learning_rate': 0.00039999891589200773, 'epoch': 0.02}

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{'loss': 1.9934, 'learning_rate': 0.0003999985840226058, 'epoch': 0.02}

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{'loss': 1.7716, 'learning_rate': 0.0003999982079041722, 'epoch': 0.02}

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{'loss': 1.8222, 'learning_rate': 0.0003999977875367901, 'epoch': 0.02}

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{'loss': 1.8632, 'learning_rate': 0.0003999973229205525, 'epoch': 0.02}

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{'loss': 1.7595, 'learning_rate': 0.0003999968140555623, 'epoch': 0.02}

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{'loss': 1.6849, 'learning_rate': 0.00039999626094193197, 'epoch': 0.02}

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{'loss': 1.9866, 'learning_rate': 0.0003999956635797839, 'epoch': 0.02}

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{'loss': 1.8149, 'learning_rate': 0.0003999950219692503, 'epoch': 0.02}

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{'loss': 1.8287, 'learning_rate': 0.00039999433611047315, 'epoch': 0.02}

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{'loss': 1.7472, 'learning_rate': 0.00039999360600360414, 'epoch': 0.02}

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{'loss': 1.7806, 'learning_rate': 0.0003999928316488048, 'epoch': 0.02}

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{'loss': 1.9447, 'learning_rate': 0.00039999201304624643, 'epoch': 0.02}

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{'loss': 1.8369, 'learning_rate': 0.0003999911501961102, 'epoch': 0.02}

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{'loss': 1.8782, 'learning_rate': 0.000399990243098587, 'epoch': 0.02}

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{'loss': 1.8528, 'learning_rate': 0.0003999892917538776, 'epoch': 0.02}

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{'loss': 1.8133, 'learning_rate': 0.0003999882961621923, 'epoch': 0.02}

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{'loss': 1.6053, 'learning_rate': 0.0003999872563237514, 'epoch': 0.02}

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{'loss': 1.7234, 'learning_rate': 0.0003999861722387852, 'epoch': 0.02}

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{'loss': 1.9498, 'learning_rate': 0.0003999850439075333, 'epoch': 0.02}

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{'loss': 1.7752, 'learning_rate': 0.00039998387133024545, 'epoch': 0.02}

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{'loss': 1.837, 'learning_rate': 0.000399982654507181, 'epoch': 0.02}

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{'loss': 1.8002, 'learning_rate': 0.0003999813934386092, 'epoch': 0.02}

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{'loss': 1.9792, 'learning_rate': 0.00039998008812480913, 'epoch': 0.02}

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{'loss': 1.7035, 'learning_rate': 0.0003999787385660695, 'epoch': 0.02}

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{'loss': 1.7462, 'learning_rate': 0.000399977344762689, 'epoch': 0.02}

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{'loss': 1.9268, 'learning_rate': 0.00039997590671497584, 'epoch': 0.02}

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{'loss': 1.6444, 'learning_rate': 0.0003999744244232483, 'epoch': 0.02}

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{'loss': 1.6023, 'learning_rate': 0.0003999728978878343, 'epoch': 0.02}

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{'loss': 1.9378, 'learning_rate': 0.0003999713271090716, 'epoch': 0.02}

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{'loss': 1.8392, 'learning_rate': 0.00039996971208730776, 'epoch': 0.02}

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{'loss': 1.9371, 'learning_rate': 0.0003999680528229, 'epoch': 0.02}

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{'loss': 1.8793, 'learning_rate': 0.00039996634931621546, 'epoch': 0.02}

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{'loss': 1.7281, 'learning_rate': 0.00039996460156763115, 'epoch': 0.02}

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{'loss': 1.8999, 'learning_rate': 0.00039996280957753356, 'epoch': 0.02}

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{'loss': 1.7616, 'learning_rate': 0.0003999609733463193, 'epoch': 0.02}

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{'loss': 1.8009, 'learning_rate': 0.0003999590928743946, 'epoch': 0.02}

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{'loss': 1.8248, 'learning_rate': 0.00039995716816217553, 'epoch': 0.02}

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{'loss': 1.8125, 'learning_rate': 0.00039995519921008784, 'epoch': 0.02}

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{'loss': 1.8755, 'learning_rate': 0.00039995318601856723, 'epoch': 0.02}

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{'loss': 1.8212, 'learning_rate': 0.00039995112858805915, 'epoch': 0.02}

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{'loss': 1.8124, 'learning_rate': 0.00039994902691901864, 'epoch': 0.02}

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{'loss': 2.0968, 'learning_rate': 0.00039994688101191087, 'epoch': 0.02}

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{'loss': 1.9205, 'learning_rate': 0.0003999446908672105, 'epoch': 0.02}

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{'loss': 1.7214, 'learning_rate': 0.0003999424564854022, 'epoch': 0.02}

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{'loss': 1.9117, 'learning_rate': 0.00039994017786698015, 'epoch': 0.02}

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{'loss': 1.8926, 'learning_rate': 0.00039993785501244865, 'epoch': 0.02}

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{'loss': 1.7361, 'learning_rate': 0.0003999354879223215, 'epoch': 0.02}

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{'loss': 1.7801, 'learning_rate': 0.00039993307659712246, 'epoch': 0.02}

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{'loss': 1.7732, 'learning_rate': 0.00039993062103738515, 'epoch': 0.02}

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{'loss': 1.8174, 'learning_rate': 0.0003999281212436526, 'epoch': 0.02}

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{'loss': 1.876, 'learning_rate': 0.00039992557721647815, 'epoch': 0.02}

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{'loss': 1.963, 'learning_rate': 0.00039992298895642444, 'epoch': 0.02}

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{'loss': 1.9794, 'learning_rate': 0.0003999203564640643, 'epoch': 0.02}

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{'loss': 1.9807, 'learning_rate': 0.00039991767973998, 'epoch': 0.02}

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{'loss': 1.8689, 'learning_rate': 0.0003999149587847638, 'epoch': 0.02}

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{'loss': 1.8105, 'learning_rate': 0.0003999121935990178, 'epoch': 0.02}

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{'loss': 1.8673, 'learning_rate': 0.00039990938418335364, 'epoch': 0.02}

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{'loss': 1.7556, 'learning_rate': 0.00039990653053839295, 'epoch': 0.02}

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{'loss': 1.8107, 'learning_rate': 0.00039990363266476716, 'epoch': 0.02}

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{'loss': 1.7058, 'learning_rate': 0.00039990069056311734, 'epoch': 0.02}

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{'loss': 1.8396, 'learning_rate': 0.0003998977042340944, 'epoch': 0.02}

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{'loss': 1.8712, 'learning_rate': 0.00039989467367835917, 'epoch': 0.02}

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{'loss': 1.7696, 'learning_rate': 0.00039989159889658205, 'epoch': 0.03}

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{'loss': 2.0015, 'learning_rate': 0.0003998884798894434, 'epoch': 0.03}

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{'loss': 1.7819, 'learning_rate': 0.0003998853166576332, 'epoch': 0.03}

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{'loss': 1.8364, 'learning_rate': 0.00039988210920185134, 'epoch': 0.03}

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{'loss': 1.8661, 'learning_rate': 0.0003998788575228074, 'epoch': 0.03}

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{'loss': 1.7113, 'learning_rate': 0.00039987556162122105, 'epoch': 0.03}

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{'loss': 1.8855, 'learning_rate': 0.0003998722214978212, 'epoch': 0.03}

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{'loss': 1.8185, 'learning_rate': 0.00039986883715334697, 'epoch': 0.03}

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{'loss': 1.9077, 'learning_rate': 0.00039986540858854706, 'epoch': 0.03}

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{'loss': 1.8081, 'learning_rate': 0.0003998619358041802, 'epoch': 0.03}

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{'loss': 1.8344, 'learning_rate': 0.00039985841880101454, 'epoch': 0.03}

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{'loss': 1.6801, 'learning_rate': 0.00039985485757982833, 'epoch': 0.03}

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{'loss': 1.8112, 'learning_rate': 0.0003998512521414095, 'epoch': 0.03}

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{'loss': 1.8427, 'learning_rate': 0.0003998476024865556, 'epoch': 0.03}

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{'loss': 1.8487, 'learning_rate': 0.00039984390861607424, 'epoch': 0.03}

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{'loss': 1.8618, 'learning_rate': 0.0003998401705307825, 'epoch': 0.03}

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{'loss': 1.7255, 'learning_rate': 0.0003998363882315077, 'epoch': 0.03}

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{'loss': 1.9246, 'learning_rate': 0.00039983256171908637, 'epoch': 0.03}

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{'loss': 1.777, 'learning_rate': 0.0003998286909943653, 'epoch': 0.03}

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{'loss': 1.888, 'learning_rate': 0.00039982477605820084, 'epoch': 0.03}

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{'loss': 1.8577, 'learning_rate': 0.0003998208169114591, 'epoch': 0.03}

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{'loss': 1.802, 'learning_rate': 0.0003998168135550161, 'epoch': 0.03}

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{'loss': 1.9086, 'learning_rate': 0.0003998127659897575, 'epoch': 0.03}

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{'loss': 1.8168, 'learning_rate': 0.00039980867421657887, 'epoch': 0.03}

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{'loss': 1.844, 'learning_rate': 0.0003998045382363855, 'epoch': 0.03}

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{'loss': 1.82, 'learning_rate': 0.00039979613365862443, 'epoch': 0.03}

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{'loss': 1.8157, 'learning_rate': 0.00039978755226391236, 'epoch': 0.03}

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{'loss': 1.7821, 'learning_rate': 0.0003997831952625669, 'epoch': 0.03}

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{'loss': 1.7804, 'learning_rate': 0.00039977879405984375, 'epoch': 0.03}

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{'loss': 1.9383, 'learning_rate': 0.0003997743486567167, 'epoch': 0.03}

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{'loss': 1.8185, 'learning_rate': 0.0003997698590541693, 'epoch': 0.03}

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{'loss': 1.6616, 'learning_rate': 0.0003997653252531949, 'epoch': 0.03}

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{'loss': 1.8869, 'learning_rate': 0.00039976074725479654, 'epoch': 0.03}

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{'loss': 1.7009, 'learning_rate': 0.0003997561250599871, 'epoch': 0.03}

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{'loss': 1.9382, 'learning_rate': 0.0003997514586697892, 'epoch': 0.03}

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{'loss': 1.8235, 'learning_rate': 0.00039974674808523534, 'epoch': 0.03}

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{'loss': 1.771, 'learning_rate': 0.0003997419933073676, 'epoch': 0.03}

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{'loss': 1.715, 'learning_rate': 0.0003997371943372381, 'epoch': 0.03}

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{'loss': 1.7607, 'learning_rate': 0.00039972746382445037, 'epoch': 0.03}

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{'loss': 1.8122, 'learning_rate': 0.00039971755655548346, 'epoch': 0.03}

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{'loss': 1.8806, 'learning_rate': 0.0003997125366401667, 'epoch': 0.03}

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{'loss': 1.8513, 'learning_rate': 0.0003997074725391053, 'epoch': 0.03}

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{'loss': 1.8634, 'learning_rate': 0.00039970236425341957, 'epoch': 0.03}

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{'loss': 1.9743, 'learning_rate': 0.00039969721178423985, 'epoch': 0.03}

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{'loss': 1.743, 'learning_rate': 0.00039969201513270617, 'epoch': 0.03}

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{'loss': 1.8157, 'learning_rate': 0.0003996814892871852, 'epoch': 0.03}

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{'loss': 1.8073, 'learning_rate': 0.0003996761600955268, 'epoch': 0.03}

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{'loss': 1.9336, 'learning_rate': 0.000399659907459138, 'epoch': 0.03}

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{'loss': 1.864, 'learning_rate': 0.00039963761884567663, 'epoch': 0.03}

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{'loss': 1.793, 'learning_rate': 0.000399578805649777, 'epoch': 0.04}

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{'loss': 1.8563, 'learning_rate': 0.00039943387565641726, 'epoch': 0.04}

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{'loss': 1.827, 'learning_rate': 0.000399426780380737, 'epoch': 0.04}

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{'loss': 1.859, 'learning_rate': 0.0003993906421962433, 'epoch': 0.04}

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{'loss': 1.9016, 'learning_rate': 0.0003993072564041971, 'epoch': 0.04}

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{'loss': 1.76, 'learning_rate': 0.00039929152203566315, 'epoch': 0.04}

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{'loss': 1.855, 'learning_rate': 0.00039919341254484534, 'epoch': 0.04}

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{'loss': 1.7855, 'learning_rate': 0.0003991592989562918, 'epoch': 0.04}

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{'loss': 1.8624, 'learning_rate': 0.0003987480783032638, 'epoch': 0.05}

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{'loss': 1.8218, 'learning_rate': 0.0003987375469563888, 'epoch': 0.05}

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{'loss': 1.8543, 'learning_rate': 0.00039872697163948243, 'epoch': 0.05}

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{'loss': 1.8423, 'learning_rate': 0.0003987163523548845, 'epoch': 0.05}

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{'loss': 1.8593, 'learning_rate': 0.00039870568910494434, 'epoch': 0.05}

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{'loss': 1.7345, 'learning_rate': 0.00039869498189202136, 'epoch': 0.05}

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{'loss': 1.8453, 'learning_rate': 0.0003986842307184843, 'epoch': 0.05}

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{'loss': 1.9135, 'learning_rate': 0.00039867343558671204, 'epoch': 0.05}

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{'loss': 1.8207, 'learning_rate': 0.0003986625964990927, 'epoch': 0.05}

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{'loss': 1.6494, 'learning_rate': 0.0003986517134580247, 'epoch': 0.05}

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{'loss': 1.79, 'learning_rate': 0.0003986407864659156, 'epoch': 0.05}

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{'loss': 1.6841, 'learning_rate': 0.0003986298155251831, 'epoch': 0.05}

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{'loss': 1.7476, 'learning_rate': 0.0003986188006382545, 'epoch': 0.05}

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{'loss': 1.7944, 'learning_rate': 0.0003986077418075667, 'epoch': 0.05}

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{'loss': 1.9451, 'learning_rate': 0.00039859663903556657, 'epoch': 0.05}

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{'loss': 1.965, 'learning_rate': 0.0003985854923247105, 'epoch': 0.05}

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{'loss': 1.734, 'learning_rate': 0.00039857430167746454, 'epoch': 0.05}

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{'loss': 1.8918, 'learning_rate': 0.00039856306709630475, 'epoch': 0.05}

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{'loss': 1.8399, 'learning_rate': 0.0003985517885837167, 'epoch': 0.05}

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{'loss': 1.753, 'learning_rate': 0.0003985404661421957, 'epoch': 0.05}

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{'loss': 1.781, 'learning_rate': 0.00039852909977424687, 'epoch': 0.05}

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{'loss': 1.7894, 'learning_rate': 0.0003985176894823849, 'epoch': 0.05}

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{'loss': 1.854, 'learning_rate': 0.00039850623526913433, 'epoch': 0.05}

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{'loss': 1.7999, 'learning_rate': 0.00039849473713702936, 'epoch': 0.05}

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{'loss': 1.8435, 'learning_rate': 0.00039848319508861387, 'epoch': 0.05}

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{'loss': 1.8206, 'learning_rate': 0.0003984716091264415, 'epoch': 0.05}

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{'loss': 1.7712, 'learning_rate': 0.0003984599792530757, 'epoch': 0.05}

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{'loss': 1.6843, 'learning_rate': 0.0003984483054710895, 'epoch': 0.05}

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{'loss': 1.7151, 'learning_rate': 0.0003984365877830656, 'epoch': 0.05}

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{'loss': 1.7526, 'learning_rate': 0.0003984248261915966, 'epoch': 0.05}

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{'loss': 1.8997, 'learning_rate': 0.00039841302069928465, 'epoch': 0.05}

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{'loss': 1.7865, 'learning_rate': 0.00039840117130874176, 'epoch': 0.05}

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{'loss': 1.8472, 'learning_rate': 0.00039838927802258946, 'epoch': 0.05}

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{'loss': 1.9315, 'learning_rate': 0.0003983773408434592, 'epoch': 0.05}

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{'loss': 1.7279, 'learning_rate': 0.00039836535977399193, 'epoch': 0.05}

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{'loss': 1.8795, 'learning_rate': 0.0003983533348168386, 'epoch': 0.06}

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{'loss': 1.8414, 'learning_rate': 0.0003983412659746595, 'epoch': 0.06}

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{'loss': 1.8032, 'learning_rate': 0.0003983291532501249, 'epoch': 0.06}

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{'loss': 1.7834, 'learning_rate': 0.0003983169966459148, 'epoch': 0.06}

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{'loss': 1.6585, 'learning_rate': 0.0003983047961647186, 'epoch': 0.06}

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{'loss': 1.8102, 'learning_rate': 0.00039829255180923574, 'epoch': 0.06}

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{'loss': 1.8267, 'learning_rate': 0.00039828026358217533, 'epoch': 0.06}

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{'loss': 1.772, 'learning_rate': 0.0003982679314862559, 'epoch': 0.06}

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{'loss': 1.7212, 'learning_rate': 0.00039825555552420604, 'epoch': 0.06}

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{'loss': 1.8234, 'learning_rate': 0.0003982431356987638, 'epoch': 0.06}

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{'loss': 1.8071, 'learning_rate': 0.00039823067201267713, 'epoch': 0.06}

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{'loss': 1.7077, 'learning_rate': 0.00039821816446870346, 'epoch': 0.06}

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{'loss': 1.741, 'learning_rate': 0.0003982056130696101, 'epoch': 0.06}

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{'loss': 1.862, 'learning_rate': 0.0003981930178181741, 'epoch': 0.06}

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{'loss': 1.8635, 'learning_rate': 0.0003981803787171819, 'epoch': 0.06}

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{'loss': 1.8943, 'learning_rate': 0.00039816769576943, 'epoch': 0.06}

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{'loss': 1.7162, 'learning_rate': 0.00039815496897772457, 'epoch': 0.06}

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{'loss': 1.8143, 'learning_rate': 0.00039814219834488114, 'epoch': 0.06}

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{'loss': 1.7148, 'learning_rate': 0.00039812938387372523, 'epoch': 0.06}

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{'loss': 1.8769, 'learning_rate': 0.0003981165255670921, 'epoch': 0.06}

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{'loss': 1.6237, 'learning_rate': 0.0003981036234278266, 'epoch': 0.06}

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{'loss': 1.8336, 'learning_rate': 0.00039809067745878317, 'epoch': 0.06}

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{'loss': 1.8808, 'learning_rate': 0.00039807768766282614, 'epoch': 0.06}

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{'loss': 1.8084, 'learning_rate': 0.0003980646540428295, 'epoch': 0.06}

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{'loss': 1.7587, 'learning_rate': 0.0003980515766016768, 'epoch': 0.06}

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{'loss': 1.9071, 'learning_rate': 0.00039803845534226143, 'epoch': 0.06}

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{'loss': 1.7408, 'learning_rate': 0.0003980252902674865, 'epoch': 0.06}

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{'loss': 1.7905, 'learning_rate': 0.00039801208138026456, 'epoch': 0.06}

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{'loss': 1.8778, 'learning_rate': 0.00039799882868351823, 'epoch': 0.06}

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{'loss': 1.8313, 'learning_rate': 0.00039798553218017943, 'epoch': 0.06}

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{'loss': 1.9472, 'learning_rate': 0.00039797219187319015, 'epoch': 0.06}

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{'loss': 1.7632, 'learning_rate': 0.0003979588077655018, 'epoch': 0.06}

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{'loss': 1.7821, 'learning_rate': 0.0003979453798600756, 'epoch': 0.06}

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{'loss': 1.8344, 'learning_rate': 0.00039793190815988233, 'epoch': 0.06}

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{'loss': 1.6997, 'learning_rate': 0.0003979183926679027, 'epoch': 0.06}

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{'loss': 1.956, 'learning_rate': 0.0003979048333871269, 'epoch': 0.06}

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{'loss': 1.756, 'learning_rate': 0.00039789123032055493, 'epoch': 0.06}

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{'loss': 1.8861, 'learning_rate': 0.00039787758347119626, 'epoch': 0.06}

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{'loss': 1.6501, 'learning_rate': 0.00039786389284207044, 'epoch': 0.06}

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{'loss': 1.8189, 'learning_rate': 0.0003978501584362063, 'epoch': 0.06}

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{'loss': 1.6048, 'learning_rate': 0.0003978363802566426, 'epoch': 0.06}

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{'loss': 1.7401, 'learning_rate': 0.00039782255830642777, 'epoch': 0.06}

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{'loss': 1.8954, 'learning_rate': 0.0003978086925886198, 'epoch': 0.06}

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{'loss': 1.8313, 'learning_rate': 0.00039779478310628645, 'epoch': 0.06}

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{'loss': 1.9141, 'learning_rate': 0.00039778082986250513, 'epoch': 0.06}

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{'loss': 1.6629, 'learning_rate': 0.00039776683286036295, 'epoch': 0.06}

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{'loss': 1.8725, 'learning_rate': 0.00039775279210295676, 'epoch': 0.06}

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{'loss': 1.6964, 'learning_rate': 0.00039773870759339297, 'epoch': 0.06}

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{'loss': 1.8059, 'learning_rate': 0.0003977245793347878, 'epoch': 0.06}

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{'loss': 1.7852, 'learning_rate': 0.00039771040733026697, 'epoch': 0.06}

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{'loss': 1.9568, 'learning_rate': 0.000397696191582966, 'epoch': 0.06}

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{'loss': 1.8273, 'learning_rate': 0.0003976819320960303, 'epoch': 0.06}

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{'loss': 1.8533, 'learning_rate': 0.00039766762887261445, 'epoch': 0.06}

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{'loss': 1.7547, 'learning_rate': 0.00039765328191588314, 'epoch': 0.06}

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{'loss': 1.8107, 'learning_rate': 0.0003976388912290105, 'epoch': 0.06}

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{'loss': 2.0183, 'learning_rate': 0.00039762445681518053, 'epoch': 0.06}

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{'loss': 1.7311, 'learning_rate': 0.0003976099786775867, 'epoch': 0.06}

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{'loss': 1.9018, 'learning_rate': 0.00039759545681943237, 'epoch': 0.06}

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{'loss': 1.6872, 'learning_rate': 0.00039758089124393035, 'epoch': 0.06}

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{'loss': 1.7358, 'learning_rate': 0.00039756628195430324, 'epoch': 0.06}

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{'loss': 1.6796, 'learning_rate': 0.00039755162895378326, 'epoch': 0.06}

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{'loss': 1.892, 'learning_rate': 0.0003975369322456125, 'epoch': 0.06}

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{'loss': 1.7282, 'learning_rate': 0.0003975221918330424, 'epoch': 0.06}

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{'loss': 1.9827, 'learning_rate': 0.00039750740771933417, 'epoch': 0.06}

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{'loss': 1.6816, 'learning_rate': 0.000397492579907759, 'epoch': 0.06}

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{'loss': 1.799, 'learning_rate': 0.0003974777084015973, 'epoch': 0.06}

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{'loss': 1.7513, 'learning_rate': 0.00039746279320413937, 'epoch': 0.06}

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{'loss': 1.8015, 'learning_rate': 0.00039744783431868515, 'epoch': 0.06}

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{'loss': 1.9568, 'learning_rate': 0.0003974328317485443, 'epoch': 0.07}

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{'loss': 1.7025, 'learning_rate': 0.0003974177854970361, 'epoch': 0.07}

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{'loss': 1.7496, 'learning_rate': 0.0003974026955674893, 'epoch': 0.07}

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{'loss': 1.7982, 'learning_rate': 0.00039738756196324267, 'epoch': 0.07}

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{'loss': 1.7978, 'learning_rate': 0.00039737238468764453, 'epoch': 0.07}

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{'loss': 1.8577, 'learning_rate': 0.0003973571637440526, 'epoch': 0.07}

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{'loss': 1.8767, 'learning_rate': 0.00039734189913583464, 'epoch': 0.07}

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{'loss': 1.7078, 'learning_rate': 0.0003973265908663678, 'epoch': 0.07}

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{'loss': 1.8624, 'learning_rate': 0.000397311238939039, 'epoch': 0.07}

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{'loss': 1.8064, 'learning_rate': 0.0003972958433572448, 'epoch': 0.07}

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{'loss': 1.8586, 'learning_rate': 0.00039728040412439147, 'epoch': 0.07}

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{'loss': 1.7813, 'learning_rate': 0.0003972649212438948, 'epoch': 0.07}

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{'loss': 1.7999, 'learning_rate': 0.00039724939471918043, 'epoch': 0.07}

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{'loss': 1.8336, 'learning_rate': 0.0003972338245536835, 'epoch': 0.07}

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{'loss': 1.7335, 'learning_rate': 0.00039721821075084886, 'epoch': 0.07}

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{'loss': 1.727, 'learning_rate': 0.00039720255331413104, 'epoch': 0.07}

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{'loss': 1.8477, 'learning_rate': 0.0003971868522469941, 'epoch': 0.07}

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{'loss': 1.6951, 'learning_rate': 0.000397171107552912, 'epoch': 0.07}

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{'loss': 1.6504, 'learning_rate': 0.00039715531923536807, 'epoch': 0.07}

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{'loss': 1.9051, 'learning_rate': 0.00039713948729785546, 'epoch': 0.07}

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{'loss': 1.8366, 'learning_rate': 0.000397123611743877, 'epoch': 0.07}

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{'loss': 1.8481, 'learning_rate': 0.000397107692576945, 'epoch': 0.07}

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{'loss': 1.8254, 'learning_rate': 0.00039709172980058164, 'epoch': 0.07}

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{'loss': 1.8252, 'learning_rate': 0.0003970757234183185, 'epoch': 0.07}

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{'loss': 1.6986, 'learning_rate': 0.00039705967343369705, 'epoch': 0.07}

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{'loss': 1.7434, 'learning_rate': 0.0003970435798502683, 'epoch': 0.07}

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{'loss': 1.7413, 'learning_rate': 0.0003970274426715928, 'epoch': 0.07}

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{'loss': 1.7657, 'learning_rate': 0.00039701126190124094, 'epoch': 0.07}

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{'loss': 1.7052, 'learning_rate': 0.00039699503754279264, 'epoch': 0.07}

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{'loss': 1.8257, 'learning_rate': 0.0003969787695998374, 'epoch': 0.07}

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{'loss': 1.8254, 'learning_rate': 0.0003969624580759746, 'epoch': 0.07}

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{'loss': 1.8684, 'learning_rate': 0.00039694610297481305, 'epoch': 0.07}

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{'loss': 1.8561, 'learning_rate': 0.0003969297042999712, 'epoch': 0.07}

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{'loss': 1.7693, 'learning_rate': 0.00039691326205507717, 'epoch': 0.07}

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{'loss': 1.8749, 'learning_rate': 0.00039689677624376896, 'epoch': 0.07}

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{'loss': 1.8235, 'learning_rate': 0.00039688024686969386, 'epoch': 0.07}

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{'loss': 1.6995, 'learning_rate': 0.00039686367393650893, 'epoch': 0.07}

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{'loss': 1.5403, 'learning_rate': 0.0003968470574478809, 'epoch': 0.07}

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{'loss': 1.8066, 'learning_rate': 0.00039683039740748613, 'epoch': 0.07}

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{'loss': 1.8615, 'learning_rate': 0.0003968136938190106, 'epoch': 0.07}

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{'loss': 1.5913, 'learning_rate': 0.00039679694668614987, 'epoch': 0.07}

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{'loss': 1.8386, 'learning_rate': 0.00039678015601260925, 'epoch': 0.07}

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{'loss': 1.8947, 'learning_rate': 0.00039676332180210364, 'epoch': 0.07}

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{'loss': 1.8435, 'learning_rate': 0.0003967464440583574, 'epoch': 0.07}

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{'loss': 1.7903, 'learning_rate': 0.00039672952278510494, 'epoch': 0.07}

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{'loss': 1.8439, 'learning_rate': 0.00039671255798608975, 'epoch': 0.07}

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{'loss': 1.8488, 'learning_rate': 0.00039669554966506544, 'epoch': 0.07}

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{'loss': 1.7086, 'learning_rate': 0.000396678497825795, 'epoch': 0.07}

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{'loss': 1.792, 'learning_rate': 0.000396661402472051, 'epoch': 0.07}

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{'loss': 1.8584, 'learning_rate': 0.00039664426360761586, 'epoch': 0.07}

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{'loss': 1.629, 'learning_rate': 0.0003966270812362814, 'epoch': 0.07}

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{'loss': 1.6584, 'learning_rate': 0.0003966098553618493, 'epoch': 0.07}

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{'loss': 1.6464, 'learning_rate': 0.00039659258598813055, 'epoch': 0.07}

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{'loss': 1.7918, 'learning_rate': 0.00039657527311894606, 'epoch': 0.07}

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{'loss': 1.6825, 'learning_rate': 0.00039655791675812614, 'epoch': 0.07}

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{'loss': 1.7429, 'learning_rate': 0.00039654051690951093, 'epoch': 0.07}

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{'loss': 1.7522, 'learning_rate': 0.00039652307357695006, 'epoch': 0.07}

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{'loss': 1.723, 'learning_rate': 0.00039650558676430285, 'epoch': 0.07}

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{'loss': 1.6514, 'learning_rate': 0.0003964880564754381, 'epoch': 0.07}

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{'loss': 1.7737, 'learning_rate': 0.0003964704827142344, 'epoch': 0.07}

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{'loss': 1.9399, 'learning_rate': 0.00039645286548457994, 'epoch': 0.07}

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{'loss': 1.7434, 'learning_rate': 0.0003964352047903723, 'epoch': 0.07}

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{'loss': 1.8614, 'learning_rate': 0.000396417500635519, 'epoch': 0.07}

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{'loss': 1.7248, 'learning_rate': 0.000396399753023937, 'epoch': 0.07}

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{'loss': 1.8147, 'learning_rate': 0.00039638196195955293, 'epoch': 0.07}

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{'loss': 1.7088, 'learning_rate': 0.0003963641274463029, 'epoch': 0.07}

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{'loss': 1.6859, 'learning_rate': 0.0003963462494881328, 'epoch': 0.07}

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{'loss': 1.8509, 'learning_rate': 0.00039632832808899807, 'epoch': 0.07}

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{'loss': 1.7807, 'learning_rate': 0.0003963103632528638, 'epoch': 0.08}

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{'loss': 1.8307, 'learning_rate': 0.00039629235498370456, 'epoch': 0.08}

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{'loss': 1.776, 'learning_rate': 0.0003962743032855047, 'epoch': 0.08}

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{'loss': 1.7817, 'learning_rate': 0.000396256208162258, 'epoch': 0.08}

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{'loss': 1.7335, 'learning_rate': 0.00039623806961796806, 'epoch': 0.08}

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{'loss': 1.7618, 'learning_rate': 0.000396219887656648, 'epoch': 0.08}

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{'loss': 1.7928, 'learning_rate': 0.0003962016622823204, 'epoch': 0.08}

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{'loss': 1.7305, 'learning_rate': 0.0003961833934990176, 'epoch': 0.08}

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{'loss': 1.8676, 'learning_rate': 0.00039616508131078154, 'epoch': 0.08}

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{'loss': 1.8546, 'learning_rate': 0.00039614672572166364, 'epoch': 0.08}

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{'loss': 1.7474, 'learning_rate': 0.0003961283267357252, 'epoch': 0.08}

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{'loss': 1.7562, 'learning_rate': 0.0003961098843570367, 'epoch': 0.08}

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{'loss': 1.7885, 'learning_rate': 0.00039609139858967873, 'epoch': 0.08}

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{'loss': 1.9507, 'learning_rate': 0.00039607286943774096, 'epoch': 0.08}

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{'loss': 1.7405, 'learning_rate': 0.000396054296905323, 'epoch': 0.08}

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{'loss': 1.6542, 'learning_rate': 0.00039603568099653394, 'epoch': 0.08}

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{'loss': 1.9583, 'learning_rate': 0.0003960170217154926, 'epoch': 0.08}

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{'loss': 1.8323, 'learning_rate': 0.0003959983190663271, 'epoch': 0.08}

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{'loss': 1.8341, 'learning_rate': 0.0003959795730531755, 'epoch': 0.08}

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{'loss': 1.7341, 'learning_rate': 0.0003959607836801852, 'epoch': 0.08}

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{'loss': 1.913, 'learning_rate': 0.0003959419509515133, 'epoch': 0.08}

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{'loss': 1.8376, 'learning_rate': 0.0003959230748713265, 'epoch': 0.08}

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{'loss': 1.8546, 'learning_rate': 0.0003959041554438011, 'epoch': 0.08}

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{'loss': 1.6754, 'learning_rate': 0.0003958851926731229, 'epoch': 0.08}

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{'loss': 1.772, 'learning_rate': 0.00039586618656348735, 'epoch': 0.08}

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{'loss': 1.7421, 'learning_rate': 0.00039584713711909956, 'epoch': 0.08}

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{'loss': 1.7301, 'learning_rate': 0.0003958280443441741, 'epoch': 0.08}

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{'loss': 1.7809, 'learning_rate': 0.00039580890824293517, 'epoch': 0.08}

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{'loss': 1.956, 'learning_rate': 0.00039578972881961665, 'epoch': 0.08}

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{'loss': 1.8369, 'learning_rate': 0.0003957705060784619, 'epoch': 0.08}

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{'loss': 1.8083, 'learning_rate': 0.0003957512400237238, 'epoch': 0.08}

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{'loss': 1.9556, 'learning_rate': 0.00039573193065966497, 'epoch': 0.08}

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{'loss': 1.7622, 'learning_rate': 0.00039571257799055754, 'epoch': 0.08}

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{'loss': 1.8417, 'learning_rate': 0.0003956931820206832, 'epoch': 0.08}

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{'loss': 1.8039, 'learning_rate': 0.0003956737427543333, 'epoch': 0.08}

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{'loss': 1.6701, 'learning_rate': 0.0003956542601958087, 'epoch': 0.08}

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{'loss': 1.7418, 'learning_rate': 0.0003956347343494198, 'epoch': 0.08}

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{'loss': 1.7193, 'learning_rate': 0.0003956151652194866, 'epoch': 0.08}

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{'loss': 1.7874, 'learning_rate': 0.0003955955528103389, 'epoch': 0.08}

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{'loss': 1.7425, 'learning_rate': 0.0003955758971263157, 'epoch': 0.08}

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{'loss': 1.9046, 'learning_rate': 0.00039555619817176576, 'epoch': 0.08}

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{'loss': 1.6623, 'learning_rate': 0.00039553645595104747, 'epoch': 0.08}

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{'loss': 1.7682, 'learning_rate': 0.00039551667046852873, 'epoch': 0.08}

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{'loss': 1.8296, 'learning_rate': 0.000395496841728587, 'epoch': 0.08}

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{'loss': 1.8189, 'learning_rate': 0.0003954769697356093, 'epoch': 0.08}

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{'loss': 1.7958, 'learning_rate': 0.0003954570544939923, 'epoch': 0.08}

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{'loss': 1.7713, 'learning_rate': 0.00039543709600814214, 'epoch': 0.08}

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{'loss': 1.7116, 'learning_rate': 0.0003954170942824746, 'epoch': 0.08}

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{'loss': 1.7419, 'learning_rate': 0.00039539704932141487, 'epoch': 0.08}

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{'loss': 1.9713, 'learning_rate': 0.00039537696112939804, 'epoch': 0.08}

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{'loss': 1.9347, 'learning_rate': 0.00039535682971086845, 'epoch': 0.08}

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{'loss': 1.775, 'learning_rate': 0.00039533665507028007, 'epoch': 0.08}

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{'loss': 1.73, 'learning_rate': 0.00039531643721209654, 'epoch': 0.08}

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{'loss': 1.7471, 'learning_rate': 0.000395296176140791, 'epoch': 0.08}

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{'loss': 1.817, 'learning_rate': 0.00039527587186084605, 'epoch': 0.08}

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{'loss': 1.7526, 'learning_rate': 0.00039525552437675405, 'epoch': 0.08}

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{'loss': 1.7034, 'learning_rate': 0.00039523513369301675, 'epoch': 0.08}

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{'loss': 1.7872, 'learning_rate': 0.00039521469981414556, 'epoch': 0.08}

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{'loss': 1.8387, 'learning_rate': 0.0003951942227446614, 'epoch': 0.08}

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{'loss': 1.8827, 'learning_rate': 0.0003951737024890948, 'epoch': 0.08}

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{'loss': 1.7602, 'learning_rate': 0.00039515313905198567, 'epoch': 0.08}

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{'loss': 1.6599, 'learning_rate': 0.00039513253243788374, 'epoch': 0.08}

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{'loss': 1.7409, 'learning_rate': 0.0003951118826513481, 'epoch': 0.08}

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{'loss': 1.8524, 'learning_rate': 0.00039509118969694736, 'epoch': 0.08}

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{'loss': 1.718, 'learning_rate': 0.00039507045357926, 'epoch': 0.08}

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{'loss': 1.8281, 'learning_rate': 0.0003950496743028736, 'epoch': 0.08}

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{'loss': 1.7044, 'learning_rate': 0.0003950288518723856, 'epoch': 0.08}

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{'loss': 1.6658, 'learning_rate': 0.0003950079862924028, 'epoch': 0.08}

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{'loss': 1.8943, 'learning_rate': 0.00039498707756754176, 'epoch': 0.09}

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{'loss': 1.8424, 'learning_rate': 0.00039496612570242846, 'epoch': 0.09}

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{'loss': 1.8056, 'learning_rate': 0.00039494513070169833, 'epoch': 0.09}

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{'loss': 1.7077, 'learning_rate': 0.0003949240925699966, 'epoch': 0.09}

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{'loss': 1.7672, 'learning_rate': 0.0003949030113119777, 'epoch': 0.09}

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{'loss': 1.8221, 'learning_rate': 0.00039488188693230595, 'epoch': 0.09}

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{'loss': 1.6537, 'learning_rate': 0.00039486071943565495, 'epoch': 0.09}

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{'loss': 1.7519, 'learning_rate': 0.00039483950882670805, 'epoch': 0.09}

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{'loss': 1.7035, 'learning_rate': 0.0003948182551101579, 'epoch': 0.09}

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{'loss': 1.7506, 'learning_rate': 0.00039479695829070687, 'epoch': 0.09}

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{'loss': 1.7805, 'learning_rate': 0.0003947756183730668, 'epoch': 0.09}

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{'loss': 1.7556, 'learning_rate': 0.0003947542353619591, 'epoch': 0.09}

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{'loss': 1.9552, 'learning_rate': 0.0003947328092621147, 'epoch': 0.09}

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{'loss': 1.7991, 'learning_rate': 0.00039471134007827404, 'epoch': 0.09}

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{'loss': 1.8624, 'learning_rate': 0.00039468982781518705, 'epoch': 0.09}

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{'loss': 1.9038, 'learning_rate': 0.00039466827247761337, 'epoch': 0.09}

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{'loss': 1.9206, 'learning_rate': 0.0003946466740703219, 'epoch': 0.09}

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{'loss': 1.9064, 'learning_rate': 0.00039462503259809134, 'epoch': 0.09}

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{'loss': 1.7476, 'learning_rate': 0.0003946033480657097, 'epoch': 0.09}

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{'loss': 1.7746, 'learning_rate': 0.0003945816204779747, 'epoch': 0.09}

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{'loss': 1.7362, 'learning_rate': 0.00039455984983969346, 'epoch': 0.09}

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{'loss': 1.7308, 'learning_rate': 0.00039453803615568266, 'epoch': 0.09}

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{'loss': 1.6835, 'learning_rate': 0.00039451617943076845, 'epoch': 0.09}

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{'loss': 1.7648, 'learning_rate': 0.0003944942796697867, 'epoch': 0.09}

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{'loss': 1.7818, 'learning_rate': 0.0003944723368775825, 'epoch': 0.09}

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{'loss': 1.7973, 'learning_rate': 0.0003944503510590107, 'epoch': 0.09}

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{'loss': 1.9494, 'learning_rate': 0.00039442832221893567, 'epoch': 0.09}

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{'loss': 1.7235, 'learning_rate': 0.00039440625036223103, 'epoch': 0.09}

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{'loss': 1.6461, 'learning_rate': 0.00039438413549378027, 'epoch': 0.09}

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{'loss': 1.8894, 'learning_rate': 0.00039436197761847616, 'epoch': 0.09}

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{'loss': 1.7474, 'learning_rate': 0.00039433977674122105, 'epoch': 0.09}

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{'loss': 1.7687, 'learning_rate': 0.0003943175328669269, 'epoch': 0.09}

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{'loss': 1.8025, 'learning_rate': 0.00039429524600051495, 'epoch': 0.09}

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{'loss': 1.8003, 'learning_rate': 0.0003942729161469162, 'epoch': 0.09}

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{'loss': 1.8271, 'learning_rate': 0.000394250543311071, 'epoch': 0.09}

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{'loss': 1.7797, 'learning_rate': 0.0003942281274979293, 'epoch': 0.09}

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{'loss': 1.7347, 'learning_rate': 0.0003942056687124506, 'epoch': 0.09}

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{'loss': 1.7033, 'learning_rate': 0.0003941831669596037, 'epoch': 0.09}

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{'loss': 1.9121, 'learning_rate': 0.0003941606222443671, 'epoch': 0.09}

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{'loss': 1.7977, 'learning_rate': 0.0003941380345717287, 'epoch': 0.09}

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{'loss': 1.8368, 'learning_rate': 0.000394115403946686, 'epoch': 0.09}

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{'loss': 1.7594, 'learning_rate': 0.000394092730374246, 'epoch': 0.09}

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{'loss': 1.881, 'learning_rate': 0.00039407001385942505, 'epoch': 0.09}

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{'loss': 1.6392, 'learning_rate': 0.0003940472544072491, 'epoch': 0.09}

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{'loss': 1.8244, 'learning_rate': 0.00039402445202275373, 'epoch': 0.09}

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{'loss': 1.9341, 'learning_rate': 0.00039400160671098375, 'epoch': 0.09}

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{'loss': 1.5803, 'learning_rate': 0.0003939787184769937, 'epoch': 0.09}

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{'loss': 1.9318, 'learning_rate': 0.0003939557873258475, 'epoch': 0.09}

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{'loss': 1.7603, 'learning_rate': 0.00039393281326261854, 'epoch': 0.09}

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{'loss': 1.7598, 'learning_rate': 0.0003939097962923899, 'epoch': 0.09}

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{'loss': 1.898, 'learning_rate': 0.00039388673642025385, 'epoch': 0.09}

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{'loss': 1.603, 'learning_rate': 0.0003938636336513124, 'epoch': 0.09}

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{'loss': 1.7666, 'learning_rate': 0.0003938404879906769, 'epoch': 0.09}

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{'loss': 1.7157, 'learning_rate': 0.00039381729944346837, 'epoch': 0.09}

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{'loss': 1.6146, 'learning_rate': 0.00039379406801481713, 'epoch': 0.09}

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{'loss': 1.7091, 'learning_rate': 0.00039377079370986296, 'epoch': 0.09}

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{'loss': 1.8471, 'learning_rate': 0.0003937474765337554, 'epoch': 0.09}

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{'loss': 1.824, 'learning_rate': 0.00039372411649165316, 'epoch': 0.09}

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{'loss': 1.6942, 'learning_rate': 0.0003937007135887246, 'epoch': 0.09}

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{'loss': 1.9742, 'learning_rate': 0.0003936772678301476, 'epoch': 0.09}

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{'loss': 1.6744, 'learning_rate': 0.00039365377922110945, 'epoch': 0.09}

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{'loss': 1.7982, 'learning_rate': 0.0003936302477668068, 'epoch': 0.09}

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{'loss': 1.7557, 'learning_rate': 0.0003936066734724461, 'epoch': 0.09}

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{'loss': 1.8011, 'learning_rate': 0.000393583056343243, 'epoch': 0.09}

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{'loss': 1.8658, 'learning_rate': 0.0003935593963844226, 'epoch': 0.09}

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{'loss': 1.8232, 'learning_rate': 0.0003935356936012198, 'epoch': 0.09}

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{'loss': 1.6556, 'learning_rate': 0.0003935119479988786, 'epoch': 0.09}

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{'loss': 1.8603, 'learning_rate': 0.0003934881595826527, 'epoch': 0.09}

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{'loss': 1.8944, 'learning_rate': 0.00039346432835780514, 'epoch': 0.1}

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{'loss': 1.6288, 'learning_rate': 0.00039344045432960866, 'epoch': 0.1}

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{'loss': 1.9315, 'learning_rate': 0.0003934165375033451, 'epoch': 0.1}

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{'loss': 1.8987, 'learning_rate': 0.00039339257788430617, 'epoch': 0.1}

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{'loss': 1.6569, 'learning_rate': 0.00039336857547779276, 'epoch': 0.1}

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{'loss': 1.7239, 'learning_rate': 0.0003933445302891153, 'epoch': 0.1}

 10%|▉         | 650/6779 [24:00<3:52:49,  2.28s/it]
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{'loss': 1.9766, 'learning_rate': 0.0003933204423235938, 'epoch': 0.1}

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{'loss': 1.8746, 'learning_rate': 0.0003932963115865576, 'epoch': 0.1}

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{'loss': 1.8845, 'learning_rate': 0.00039327213808334544, 'epoch': 0.1}

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{'loss': 1.8293, 'learning_rate': 0.00039324792181930584, 'epoch': 0.1}

 10%|▉         | 654/6779 [24:09<3:53:07,  2.28s/it]
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{'loss': 1.8071, 'learning_rate': 0.00039322366279979644, 'epoch': 0.1}

 10%|▉         | 655/6779 [24:11<3:48:44,  2.24s/it]
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{'loss': 1.6595, 'learning_rate': 0.0003931993610301845, 'epoch': 0.1}

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{'loss': 1.6616, 'learning_rate': 0.0003931750165158466, 'epoch': 0.1}

 10%|▉         | 657/6779 [24:16<3:41:10,  2.17s/it]
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{'loss': 1.7848, 'learning_rate': 0.00039315062926216905, 'epoch': 0.1}

 10%|▉         | 658/6779 [24:18<3:44:06,  2.20s/it]
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{'loss': 1.6559, 'learning_rate': 0.0003931261992745474, 'epoch': 0.1}

 10%|▉         | 659/6779 [24:20<3:40:40,  2.16s/it]
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{'loss': 1.874, 'learning_rate': 0.0003931017265583866, 'epoch': 0.1}

 10%|▉         | 660/6779 [24:22<3:42:31,  2.18s/it]
 10%|▉         | 661/6779 [24:24<3:42:22,  2.18s/it]
                                                    
{'loss': 1.7907, 'learning_rate': 0.0003930772111191013, 'epoch': 0.1}

 10%|▉         | 661/6779 [24:24<3:42:22,  2.18s/it]
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{'loss': 1.7394, 'learning_rate': 0.0003930526529621154, 'epoch': 0.1}

 10%|▉         | 662/6779 [24:27<3:44:43,  2.20s/it]
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{'loss': 1.8215, 'learning_rate': 0.00039302805209286227, 'epoch': 0.1}

 10%|▉         | 663/6779 [24:29<3:44:15,  2.20s/it]
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{'loss': 1.7144, 'learning_rate': 0.0003930034085167848, 'epoch': 0.1}

 10%|▉         | 664/6779 [24:32<3:58:03,  2.34s/it]
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{'loss': 1.6354, 'learning_rate': 0.0003929787222393354, 'epoch': 0.1}

 10%|▉         | 665/6779 [24:34<3:50:12,  2.26s/it]
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{'loss': 1.8895, 'learning_rate': 0.0003929539932659757, 'epoch': 0.1}

 10%|▉         | 666/6779 [24:36<3:48:58,  2.25s/it]
 10%|▉         | 667/6779 [24:38<3:42:59,  2.19s/it]
                                                    
{'loss': 1.8758, 'learning_rate': 0.0003929292216021769, 'epoch': 0.1}

 10%|▉         | 667/6779 [24:38<3:42:59,  2.19s/it]
 10%|▉         | 668/6779 [24:40<3:43:29,  2.19s/it]
                                                    
{'loss': 1.7979, 'learning_rate': 0.00039290440725341975, 'epoch': 0.1}

 10%|▉         | 668/6779 [24:40<3:43:29,  2.19s/it]
 10%|▉         | 669/6779 [24:43<3:49:32,  2.25s/it]
                                                    
{'loss': 1.762, 'learning_rate': 0.00039287955022519424, 'epoch': 0.1}

 10%|▉         | 669/6779 [24:43<3:49:32,  2.25s/it]
 10%|▉         | 670/6779 [24:45<3:46:07,  2.22s/it]
                                                    
{'loss': 1.6985, 'learning_rate': 0.000392854650523, 'epoch': 0.1}

 10%|▉         | 670/6779 [24:45<3:46:07,  2.22s/it]
 10%|▉         | 671/6779 [24:47<3:44:27,  2.20s/it]
                                                    
{'loss': 1.6646, 'learning_rate': 0.000392829708152346, 'epoch': 0.1}

 10%|▉         | 671/6779 [24:47<3:44:27,  2.20s/it]
 10%|▉         | 672/6779 [24:49<3:45:52,  2.22s/it]
                                                    
{'loss': 1.8946, 'learning_rate': 0.00039280472311875055, 'epoch': 0.1}

 10%|▉         | 672/6779 [24:49<3:45:52,  2.22s/it]
 10%|▉         | 673/6779 [24:51<3:49:26,  2.25s/it]
                                                    
{'loss': 1.6791, 'learning_rate': 0.0003927796954277416, 'epoch': 0.1}

 10%|▉         | 673/6779 [24:51<3:49:26,  2.25s/it]
 10%|▉         | 674/6779 [24:54<3:51:39,  2.28s/it]
                                                    
{'loss': 1.849, 'learning_rate': 0.0003927546250848564, 'epoch': 0.1}

 10%|▉         | 674/6779 [24:54<3:51:39,  2.28s/it]
 10%|▉         | 675/6779 [24:56<3:40:36,  2.17s/it]
                                                    
{'loss': 1.5823, 'learning_rate': 0.00039272951209564174, 'epoch': 0.1}

 10%|▉         | 675/6779 [24:56<3:40:36,  2.17s/it]
 10%|▉         | 676/6779 [24:58<3:37:42,  2.14s/it]
                                                    
{'loss': 1.8089, 'learning_rate': 0.0003927043564656538, 'epoch': 0.1}

 10%|▉         | 676/6779 [24:58<3:37:42,  2.14s/it]
 10%|▉         | 677/6779 [25:00<3:33:39,  2.10s/it]
                                                    
{'loss': 1.6028, 'learning_rate': 0.00039267915820045805, 'epoch': 0.1}

 10%|▉         | 677/6779 [25:00<3:33:39,  2.10s/it]
 10%|█         | 678/6779 [25:02<3:37:22,  2.14s/it]
                                                    
{'loss': 1.7725, 'learning_rate': 0.0003926539173056296, 'epoch': 0.1}

 10%|█         | 678/6779 [25:02<3:37:22,  2.14s/it]
 10%|█         | 679/6779 [25:04<3:40:07,  2.17s/it]
                                                    
{'loss': 1.7096, 'learning_rate': 0.00039262863378675296, 'epoch': 0.1}

 10%|█         | 679/6779 [25:04<3:40:07,  2.17s/it]
 10%|█         | 680/6779 [25:07<3:50:36,  2.27s/it]
                                                    
{'loss': 1.8553, 'learning_rate': 0.000392603307649422, 'epoch': 0.1}

 10%|█         | 680/6779 [25:07<3:50:36,  2.27s/it]
 10%|█         | 681/6779 [25:09<3:50:00,  2.26s/it]
                                                    
{'loss': 1.6939, 'learning_rate': 0.00039257793889923995, 'epoch': 0.1}

 10%|█         | 681/6779 [25:09<3:50:00,  2.26s/it]
 10%|█         | 682/6779 [25:11<3:58:09,  2.34s/it]
                                                    
{'loss': 1.8044, 'learning_rate': 0.00039255252754181975, 'epoch': 0.1}

 10%|█         | 682/6779 [25:11<3:58:09,  2.34s/it]
 10%|█         | 683/6779 [25:14<4:03:40,  2.40s/it]
                                                    
{'loss': 1.7454, 'learning_rate': 0.00039252707358278336, 'epoch': 0.1}

 10%|█         | 683/6779 [25:14<4:03:40,  2.40s/it]
 10%|█         | 684/6779 [25:16<3:56:59,  2.33s/it]
                                                    
{'loss': 1.9034, 'learning_rate': 0.0003925015770277626, 'epoch': 0.1}

 10%|█         | 684/6779 [25:16<3:56:59,  2.33s/it]
 10%|█         | 685/6779 [25:19<3:56:56,  2.33s/it]
                                                    
{'loss': 1.7624, 'learning_rate': 0.0003924760378823984, 'epoch': 0.1}

 10%|█         | 685/6779 [25:19<3:56:56,  2.33s/it]
 10%|█         | 686/6779 [25:21<3:59:06,  2.35s/it]
                                                    
{'loss': 1.7312, 'learning_rate': 0.00039245045615234113, 'epoch': 0.1}

 10%|█         | 686/6779 [25:21<3:59:06,  2.35s/it]
 10%|█         | 687/6779 [25:23<3:51:35,  2.28s/it]
                                                    
{'loss': 1.7426, 'learning_rate': 0.00039242483184325074, 'epoch': 0.1}

 10%|█         | 687/6779 [25:23<3:51:35,  2.28s/it]
 10%|█         | 688/6779 [25:25<3:44:55,  2.22s/it]
                                                    
{'loss': 1.6026, 'learning_rate': 0.00039239916496079663, 'epoch': 0.1}

 10%|█         | 688/6779 [25:25<3:44:55,  2.22s/it]
 10%|█         | 689/6779 [25:27<3:35:11,  2.12s/it]
                                                    
{'loss': 1.7428, 'learning_rate': 0.00039237345551065736, 'epoch': 0.1}

 10%|█         | 689/6779 [25:27<3:35:11,  2.12s/it]
 10%|█         | 690/6779 [25:29<3:39:22,  2.16s/it]
                                                    
{'loss': 1.8156, 'learning_rate': 0.0003923477034985211, 'epoch': 0.1}

 10%|█         | 690/6779 [25:29<3:39:22,  2.16s/it]
 10%|█         | 691/6779 [25:31<3:38:02,  2.15s/it]
                                                    
{'loss': 1.7864, 'learning_rate': 0.0003923219089300854, 'epoch': 0.1}

 10%|█         | 691/6779 [25:31<3:38:02,  2.15s/it]
 10%|█         | 692/6779 [25:34<3:53:35,  2.30s/it]
                                                    
{'loss': 1.7577, 'learning_rate': 0.00039229607181105725, 'epoch': 0.1}

 10%|█         | 692/6779 [25:34<3:53:35,  2.30s/it]
 10%|█         | 693/6779 [25:37<4:02:11,  2.39s/it]
                                                    
{'loss': 1.8737, 'learning_rate': 0.000392270192147153, 'epoch': 0.1}

 10%|█         | 693/6779 [25:37<4:02:11,  2.39s/it]
 10%|█         | 694/6779 [25:39<3:59:25,  2.36s/it]
                                                    
{'loss': 1.7715, 'learning_rate': 0.0003922442699440985, 'epoch': 0.1}

 10%|█         | 694/6779 [25:39<3:59:25,  2.36s/it]
 10%|█         | 695/6779 [25:41<3:48:50,  2.26s/it]
                                                    
{'loss': 1.705, 'learning_rate': 0.00039221830520762887, 'epoch': 0.1}

 10%|█         | 695/6779 [25:41<3:48:50,  2.26s/it]
 10%|█         | 696/6779 [25:43<3:47:46,  2.25s/it]
                                                    
{'loss': 1.8942, 'learning_rate': 0.00039219229794348876, 'epoch': 0.1}

 10%|█         | 696/6779 [25:43<3:47:46,  2.25s/it]
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{'loss': 1.8134, 'learning_rate': 0.0003921662481574322, 'epoch': 0.1}

 10%|█         | 697/6779 [25:45<3:42:42,  2.20s/it]
 10%|█         | 698/6779 [25:47<3:43:01,  2.20s/it]
                                                    
{'loss': 1.7587, 'learning_rate': 0.00039214015585522263, 'epoch': 0.1}

 10%|█         | 698/6779 [25:47<3:43:01,  2.20s/it]
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{'loss': 1.7706, 'learning_rate': 0.00039211402104263285, 'epoch': 0.1}

 10%|█         | 699/6779 [25:50<3:42:14,  2.19s/it]
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{'loss': 2.0668, 'learning_rate': 0.00039208784372544514, 'epoch': 0.1}

 10%|█         | 700/6779 [25:52<3:42:27,  2.20s/it]
 10%|█         | 701/6779 [25:54<3:40:38,  2.18s/it]
                                                    
{'loss': 1.8216, 'learning_rate': 0.00039206162390945115, 'epoch': 0.1}

 10%|█         | 701/6779 [25:54<3:40:38,  2.18s/it]
 10%|█         | 702/6779 [25:56<3:42:23,  2.20s/it]
                                                    
{'loss': 1.866, 'learning_rate': 0.00039203536160045183, 'epoch': 0.1}

 10%|█         | 702/6779 [25:56<3:42:23,  2.20s/it]
 10%|█         | 703/6779 [25:58<3:40:46,  2.18s/it]
                                                    
{'loss': 1.9576, 'learning_rate': 0.0003920090568042577, 'epoch': 0.1}

 10%|█         | 703/6779 [25:58<3:40:46,  2.18s/it]
 10%|█         | 704/6779 [26:01<3:41:31,  2.19s/it]
                                                    
{'loss': 1.6466, 'learning_rate': 0.0003919827095266887, 'epoch': 0.1}

 10%|█         | 704/6779 [26:01<3:41:31,  2.19s/it]
 10%|█         | 705/6779 [26:03<3:40:31,  2.18s/it]
                                                    
{'loss': 1.8085, 'learning_rate': 0.00039195631977357394, 'epoch': 0.1}

 10%|█         | 705/6779 [26:03<3:40:31,  2.18s/it]
 10%|█         | 706/6779 [26:05<3:43:23,  2.21s/it]
                                                    
{'loss': 1.825, 'learning_rate': 0.00039192988755075214, 'epoch': 0.1}

 10%|█         | 706/6779 [26:05<3:43:23,  2.21s/it]
 10%|█         | 707/6779 [26:07<3:41:18,  2.19s/it]
                                                    
{'loss': 1.6463, 'learning_rate': 0.00039190341286407125, 'epoch': 0.1}

 10%|█         | 707/6779 [26:07<3:41:18,  2.19s/it]
 10%|█         | 708/6779 [26:09<3:39:35,  2.17s/it]
                                                    
{'loss': 1.8484, 'learning_rate': 0.0003918768957193889, 'epoch': 0.1}

 10%|█         | 708/6779 [26:09<3:39:35,  2.17s/it]
 10%|█         | 709/6779 [26:11<3:41:12,  2.19s/it]
                                                    
{'loss': 1.8845, 'learning_rate': 0.0003918503361225717, 'epoch': 0.1}

 10%|█         | 709/6779 [26:11<3:41:12,  2.19s/it]
 10%|█         | 710/6779 [26:14<3:45:29,  2.23s/it]
                                                    
{'loss': 1.7638, 'learning_rate': 0.000391823734079496, 'epoch': 0.1}

 10%|█         | 710/6779 [26:14<3:45:29,  2.23s/it]
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{'loss': 1.8003, 'learning_rate': 0.0003917970895960474, 'epoch': 0.1}

 10%|█         | 711/6779 [26:16<3:40:07,  2.18s/it]
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{'loss': 1.7624, 'learning_rate': 0.0003917704026781209, 'epoch': 0.11}

 11%|█         | 712/6779 [26:18<3:36:09,  2.14s/it]
 11%|█         | 713/6779 [26:20<3:35:55,  2.14s/it]
                                                    
{'loss': 1.8087, 'learning_rate': 0.0003917436733316209, 'epoch': 0.11}

 11%|█         | 713/6779 [26:20<3:35:55,  2.14s/it]
 11%|█         | 714/6779 [26:22<3:44:21,  2.22s/it]
                                                    
{'loss': 1.8672, 'learning_rate': 0.00039171690156246115, 'epoch': 0.11}

 11%|█         | 714/6779 [26:22<3:44:21,  2.22s/it]
 11%|█         | 715/6779 [26:25<3:51:14,  2.29s/it]
                                                    
{'loss': 1.9848, 'learning_rate': 0.00039169008737656484, 'epoch': 0.11}

 11%|█         | 715/6779 [26:25<3:51:14,  2.29s/it]
 11%|█         | 716/6779 [26:27<3:47:22,  2.25s/it]
                                                    
{'loss': 1.6232, 'learning_rate': 0.0003916632307798645, 'epoch': 0.11}

 11%|█         | 716/6779 [26:27<3:47:22,  2.25s/it]
 11%|█         | 717/6779 [26:29<3:43:10,  2.21s/it]
                                                    
{'loss': 1.7847, 'learning_rate': 0.0003916363317783021, 'epoch': 0.11}

 11%|█         | 717/6779 [26:29<3:43:10,  2.21s/it]
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{'loss': 1.8966, 'learning_rate': 0.00039160939037782887, 'epoch': 0.11}

 11%|█         | 718/6779 [26:31<3:40:59,  2.19s/it]
 11%|█         | 719/6779 [26:34<3:41:18,  2.19s/it]
                                                    
{'loss': 1.6743, 'learning_rate': 0.0003915824065844057, 'epoch': 0.11}

 11%|█         | 719/6779 [26:34<3:41:18,  2.19s/it]
 11%|█         | 720/6779 [26:36<3:40:14,  2.18s/it]
                                                    
{'loss': 1.7383, 'learning_rate': 0.00039155538040400243, 'epoch': 0.11}

 11%|█         | 720/6779 [26:36<3:40:14,  2.18s/it]
 11%|█         | 721/6779 [26:38<3:33:26,  2.11s/it]
                                                    
{'loss': 1.6931, 'learning_rate': 0.00039152831184259866, 'epoch': 0.11}

 11%|█         | 721/6779 [26:38<3:33:26,  2.11s/it]
 11%|█         | 722/6779 [26:40<3:36:33,  2.15s/it]
                                                    
{'loss': 1.7318, 'learning_rate': 0.0003915012009061832, 'epoch': 0.11}

 11%|█         | 722/6779 [26:40<3:36:33,  2.15s/it]
 11%|█         | 723/6779 [26:42<3:36:14,  2.14s/it]
                                                    
{'loss': 1.7002, 'learning_rate': 0.00039147404760075423, 'epoch': 0.11}

 11%|█         | 723/6779 [26:42<3:36:14,  2.14s/it]
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{'loss': 1.6221, 'learning_rate': 0.0003914468519323193, 'epoch': 0.11}

 11%|█         | 724/6779 [26:44<3:38:34,  2.17s/it]
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{'loss': 1.7545, 'learning_rate': 0.0003914196139068954, 'epoch': 0.11}

 11%|█         | 725/6779 [26:46<3:40:46,  2.19s/it]
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{'loss': 1.7399, 'learning_rate': 0.00039139233353050894, 'epoch': 0.11}

 11%|█         | 726/6779 [26:49<3:37:02,  2.15s/it]
 11%|█         | 727/6779 [26:51<3:46:06,  2.24s/it]
                                                    
{'loss': 1.7467, 'learning_rate': 0.00039136501080919546, 'epoch': 0.11}

 11%|█         | 727/6779 [26:51<3:46:06,  2.24s/it]
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{'loss': 1.8179, 'learning_rate': 0.00039133764574900013, 'epoch': 0.11}

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{'loss': 1.8389, 'learning_rate': 0.0003913102383559773, 'epoch': 0.11}

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{'loss': 1.6857, 'learning_rate': 0.00039128278863619076, 'epoch': 0.11}

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{'loss': 1.7412, 'learning_rate': 0.00039125529659571383, 'epoch': 0.11}

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{'loss': 1.9313, 'learning_rate': 0.00039122776224062886, 'epoch': 0.11}

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{'loss': 1.745, 'learning_rate': 0.0003912001855770278, 'epoch': 0.11}

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{'loss': 1.8401, 'learning_rate': 0.00039117256661101187, 'epoch': 0.11}

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{'loss': 1.8221, 'learning_rate': 0.00039114490534869175, 'epoch': 0.11}

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{'loss': 1.8534, 'learning_rate': 0.00039111720179618736, 'epoch': 0.11}

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{'loss': 1.8352, 'learning_rate': 0.000391089455959628, 'epoch': 0.11}

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{'loss': 1.7419, 'learning_rate': 0.00039106166784515234, 'epoch': 0.11}

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{'loss': 1.6659, 'learning_rate': 0.0003910338374589084, 'epoch': 0.11}

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{'loss': 1.825, 'learning_rate': 0.00039100596480705363, 'epoch': 0.11}

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{'loss': 1.6099, 'learning_rate': 0.0003909780498957547, 'epoch': 0.11}

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{'loss': 1.8521, 'learning_rate': 0.0003909500927311878, 'epoch': 0.11}

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{'loss': 1.6399, 'learning_rate': 0.0003909220933195382, 'epoch': 0.11}

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{'loss': 1.856, 'learning_rate': 0.0003908940516670008, 'epoch': 0.11}

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{'loss': 1.9385, 'learning_rate': 0.0003908659677797796, 'epoch': 0.11}

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{'loss': 1.7846, 'learning_rate': 0.0003908378416640882, 'epoch': 0.11}

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{'loss': 1.9374, 'learning_rate': 0.00039080967332614933, 'epoch': 0.11}

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{'loss': 1.7176, 'learning_rate': 0.0003907814627721952, 'epoch': 0.11}

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{'loss': 1.7, 'learning_rate': 0.00039075321000846724, 'epoch': 0.11}

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{'loss': 1.8466, 'learning_rate': 0.00039072491504121636, 'epoch': 0.11}

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{'loss': 1.692, 'learning_rate': 0.00039069657787670265, 'epoch': 0.11}

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{'loss': 1.6392, 'learning_rate': 0.0003906681985211956, 'epoch': 0.11}

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{'loss': 1.8022, 'learning_rate': 0.00039063977698097427, 'epoch': 0.11}

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{'loss': 1.7165, 'learning_rate': 0.00039061131326232647, 'epoch': 0.11}

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{'loss': 1.8111, 'learning_rate': 0.00039058280737155004, 'epoch': 0.11}

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{'loss': 1.8639, 'learning_rate': 0.0003905542593149516, 'epoch': 0.11}

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{'loss': 1.656, 'learning_rate': 0.0003905256690988473, 'epoch': 0.11}

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{'loss': 1.7854, 'learning_rate': 0.0003904970367295628, 'epoch': 0.11}

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{'loss': 1.9154, 'learning_rate': 0.00039046836221343285, 'epoch': 0.11}

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{'loss': 1.8538, 'learning_rate': 0.0003904396455568016, 'epoch': 0.11}

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{'loss': 1.9094, 'learning_rate': 0.0003904108867660225, 'epoch': 0.11}

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{'loss': 1.8702, 'learning_rate': 0.00039038208584745826, 'epoch': 0.11}

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{'loss': 1.7503, 'learning_rate': 0.00039035324280748107, 'epoch': 0.11}

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{'loss': 1.7448, 'learning_rate': 0.0003903243576524724, 'epoch': 0.11}

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{'loss': 1.703, 'learning_rate': 0.00039029543038882286, 'epoch': 0.11}

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{'loss': 1.8952, 'learning_rate': 0.0003902664610229327, 'epoch': 0.11}

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{'loss': 1.7677, 'learning_rate': 0.00039023744956121105, 'epoch': 0.11}

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{'loss': 1.6851, 'learning_rate': 0.00039020839601007685, 'epoch': 0.11}

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{'loss': 1.8955, 'learning_rate': 0.000390179300375958, 'epoch': 0.11}

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{'loss': 1.9412, 'learning_rate': 0.0003901501626652918, 'epoch': 0.11}

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{'loss': 1.6386, 'learning_rate': 0.00039012098288452484, 'epoch': 0.11}

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{'loss': 1.818, 'learning_rate': 0.00039009176104011316, 'epoch': 0.11}

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{'loss': 1.7755, 'learning_rate': 0.00039006249713852186, 'epoch': 0.11}

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{'loss': 1.6705, 'learning_rate': 0.0003900331911862257, 'epoch': 0.11}

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{'loss': 1.5945, 'learning_rate': 0.0003900038431897082, 'epoch': 0.11}

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{'loss': 1.7899, 'learning_rate': 0.0003899744531554627, 'epoch': 0.11}

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{'loss': 1.847, 'learning_rate': 0.0003899450210899918, 'epoch': 0.11}

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{'loss': 1.7291, 'learning_rate': 0.00038991554699980695, 'epoch': 0.11}

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{'loss': 1.7155, 'learning_rate': 0.0003898860308914293, 'epoch': 0.11}

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{'loss': 1.7665, 'learning_rate': 0.00038985647277138937, 'epoch': 0.12}

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{'loss': 1.7511, 'learning_rate': 0.00038982687264622656, 'epoch': 0.12}

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{'loss': 1.8079, 'learning_rate': 0.0003897972305224899, 'epoch': 0.12}

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{'loss': 1.8026, 'learning_rate': 0.00038976754640673763, 'epoch': 0.12}

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{'loss': 1.698, 'learning_rate': 0.00038973782030553723, 'epoch': 0.12}

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{'loss': 1.7626, 'learning_rate': 0.0003897080522254655, 'epoch': 0.12}

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{'loss': 1.6517, 'learning_rate': 0.0003896782421731085, 'epoch': 0.12}

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{'loss': 1.6861, 'learning_rate': 0.0003896483901550617, 'epoch': 0.12}

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{'loss': 1.7257, 'learning_rate': 0.00038961849617792974, 'epoch': 0.12}

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{'loss': 1.7159, 'learning_rate': 0.0003895885602483265, 'epoch': 0.12}

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{'loss': 1.756, 'learning_rate': 0.00038955858237287516, 'epoch': 0.12}

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{'loss': 1.7573, 'learning_rate': 0.00038952856255820845, 'epoch': 0.12}

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{'loss': 1.8765, 'learning_rate': 0.0003894985008109679, 'epoch': 0.12}

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{'loss': 1.6799, 'learning_rate': 0.0003894683971378047, 'epoch': 0.12}

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{'loss': 1.9008, 'learning_rate': 0.00038943825154537923, 'epoch': 0.12}

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{'loss': 1.5727, 'learning_rate': 0.000389408064040361, 'epoch': 0.12}

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{'loss': 1.753, 'learning_rate': 0.000389377834629429, 'epoch': 0.12}

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{'loss': 1.6813, 'learning_rate': 0.0003893475633192713, 'epoch': 0.12}

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{'loss': 1.7802, 'learning_rate': 0.00038931725011658535, 'epoch': 0.12}

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{'loss': 1.7199, 'learning_rate': 0.0003892868950280779, 'epoch': 0.12}

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{'loss': 1.8527, 'learning_rate': 0.00038925649806046477, 'epoch': 0.12}

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{'loss': 1.7394, 'learning_rate': 0.0003892260592204713, 'epoch': 0.12}

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{'loss': 1.6138, 'learning_rate': 0.0003891955785148321, 'epoch': 0.12}

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{'loss': 1.7716, 'learning_rate': 0.0003891650559502907, 'epoch': 0.12}

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{'loss': 1.7895, 'learning_rate': 0.0003891344915336003, 'epoch': 0.12}

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{'loss': 1.6196, 'learning_rate': 0.000389103885271523, 'epoch': 0.12}

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{'loss': 1.7733, 'learning_rate': 0.0003890732371708305, 'epoch': 0.12}

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{'loss': 1.8074, 'learning_rate': 0.0003890425472383035, 'epoch': 0.12}

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{'loss': 1.6521, 'learning_rate': 0.0003889502265176623, 'epoch': 0.12}

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{'loss': 1.6852, 'learning_rate': 0.00038658824214555127, 'epoch': 0.13}

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{'loss': 1.6847, 'learning_rate': 0.00038655435225407286, 'epoch': 0.13}

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{'loss': 1.7392, 'learning_rate': 0.0003865204210880551, 'epoch': 0.13}

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{'loss': 1.6964, 'learning_rate': 0.000386486448655005, 'epoch': 0.13}

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{'loss': 1.73, 'learning_rate': 0.00038645243496243886, 'epoch': 0.13}

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{'loss': 1.7274, 'learning_rate': 0.00038641838001788215, 'epoch': 0.13}

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{'loss': 1.7399, 'learning_rate': 0.0003863842838288695, 'epoch': 0.13}

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{'loss': 2.0097, 'learning_rate': 0.0003863501464029445, 'epoch': 0.13}

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{'loss': 1.8165, 'learning_rate': 0.0003863159677476598, 'epoch': 0.13}

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{'loss': 1.994, 'learning_rate': 0.00038628174787057757, 'epoch': 0.13}

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{'loss': 1.8058, 'learning_rate': 0.0003862474867792687, 'epoch': 0.13}

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{'loss': 1.7428, 'learning_rate': 0.00038621318448131336, 'epoch': 0.13}

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{'loss': 1.8434, 'learning_rate': 0.00038617884098430085, 'epoch': 0.13}

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{'loss': 1.7079, 'learning_rate': 0.0003861444562958295, 'epoch': 0.13}

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{'loss': 1.6923, 'learning_rate': 0.00038611003042350687, 'epoch': 0.13}

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{'loss': 1.5725, 'learning_rate': 0.0003860755633749496, 'epoch': 0.13}

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{'loss': 1.7647, 'learning_rate': 0.0003860410551577833, 'epoch': 0.13}

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{'loss': 1.8055, 'learning_rate': 0.0003860065057796429, 'epoch': 0.13}

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{'loss': 1.747, 'learning_rate': 0.00038597191524817226, 'epoch': 0.13}

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{'loss': 1.7241, 'learning_rate': 0.00038593728357102445, 'epoch': 0.13}

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{'loss': 1.7833, 'learning_rate': 0.00038590261075586166, 'epoch': 0.13}

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{'loss': 1.7289, 'learning_rate': 0.0003858678968103551, 'epoch': 0.13}

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{'loss': 1.6386, 'learning_rate': 0.0003858331417421852, 'epoch': 0.13}

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{'loss': 1.6999, 'learning_rate': 0.00038579834555904115, 'epoch': 0.13}

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{'loss': 1.7406, 'learning_rate': 0.00038576350826862176, 'epoch': 0.13}

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{'loss': 1.9308, 'learning_rate': 0.0003857286298786346, 'epoch': 0.13}

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{'loss': 1.8683, 'learning_rate': 0.00038569371039679634, 'epoch': 0.13}

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{'loss': 1.7382, 'learning_rate': 0.00038565874983083283, 'epoch': 0.13}

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{'loss': 1.667, 'learning_rate': 0.00038562374818847903, 'epoch': 0.13}

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{'loss': 1.8801, 'learning_rate': 0.00038558870547747887, 'epoch': 0.13}

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{'loss': 1.8397, 'learning_rate': 0.0003855536217055854, 'epoch': 0.13}

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{'loss': 1.8916, 'learning_rate': 0.0003855184968805609, 'epoch': 0.13}

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{'loss': 1.6719, 'learning_rate': 0.0003854833310101765, 'epoch': 0.13}

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{'loss': 1.7511, 'learning_rate': 0.00038544812410221265, 'epoch': 0.14}

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{'loss': 1.8214, 'learning_rate': 0.00038541287616445876, 'epoch': 0.14}

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{'loss': 1.9392, 'learning_rate': 0.00038537758720471325, 'epoch': 0.14}

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{'loss': 1.8301, 'learning_rate': 0.0003853422572307837, 'epoch': 0.14}

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{'loss': 1.7295, 'learning_rate': 0.0003853068862504868, 'epoch': 0.14}

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{'loss': 1.6899, 'learning_rate': 0.0003852714742716482, 'epoch': 0.14}

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{'loss': 1.7883, 'learning_rate': 0.00038523602130210267, 'epoch': 0.14}

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{'loss': 1.7702, 'learning_rate': 0.00038520052734969417, 'epoch': 0.14}

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{'loss': 1.6518, 'learning_rate': 0.00038516499242227556, 'epoch': 0.14}

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{'loss': 1.8554, 'learning_rate': 0.00038512941652770876, 'epoch': 0.14}

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{'loss': 1.6414, 'learning_rate': 0.0003850937996738649, 'epoch': 0.14}

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{'loss': 1.6701, 'learning_rate': 0.00038505814186862413, 'epoch': 0.14}

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{'loss': 1.8782, 'learning_rate': 0.00038502244311987554, 'epoch': 0.14}

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{'loss': 1.5833, 'learning_rate': 0.0003849867034355174, 'epoch': 0.14}

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{'loss': 1.9115, 'learning_rate': 0.0003849509228234569, 'epoch': 0.14}

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{'loss': 1.8103, 'learning_rate': 0.00038491510129161057, 'epoch': 0.14}

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{'loss': 1.5932, 'learning_rate': 0.0003848792388479037, 'epoch': 0.14}

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{'loss': 1.7482, 'learning_rate': 0.00038484333550027074, 'epoch': 0.14}

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{'loss': 1.7492, 'learning_rate': 0.00038480739125665514, 'epoch': 0.14}

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{'loss': 1.854, 'learning_rate': 0.00038477140612500955, 'epoch': 0.14}

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{'loss': 1.8805, 'learning_rate': 0.0003847353801132955, 'epoch': 0.14}

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{'loss': 1.6904, 'learning_rate': 0.00038469931322948365, 'epoch': 0.14}

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{'loss': 1.7712, 'learning_rate': 0.0003846632054815537, 'epoch': 0.14}

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{'loss': 1.7026, 'learning_rate': 0.00038462705687749427, 'epoch': 0.14}

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{'loss': 1.8307, 'learning_rate': 0.00038459086742530316, 'epoch': 0.14}

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{'loss': 1.7355, 'learning_rate': 0.0003845546371329873, 'epoch': 0.14}

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{'loss': 1.7913, 'learning_rate': 0.0003845183660085624, 'epoch': 0.14}

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{'loss': 1.7272, 'learning_rate': 0.0003844820540600533, 'epoch': 0.14}

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{'loss': 1.8121, 'learning_rate': 0.00038444570129549403, 'epoch': 0.14}

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{'loss': 1.7415, 'learning_rate': 0.0003844093077229274, 'epoch': 0.14}

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{'loss': 1.6635, 'learning_rate': 0.00038437287335040535, 'epoch': 0.14}

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{'loss': 1.7637, 'learning_rate': 0.00038433639818598894, 'epoch': 0.14}

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{'loss': 1.8602, 'learning_rate': 0.00038429988223774824, 'epoch': 0.14}

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{'loss': 1.735, 'learning_rate': 0.0003842633255137622, 'epoch': 0.14}

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{'loss': 1.8177, 'learning_rate': 0.0003842267280221188, 'epoch': 0.14}

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{'loss': 1.8425, 'learning_rate': 0.0003841900897709152, 'epoch': 0.14}

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{'loss': 1.713, 'learning_rate': 0.0003841534107682576, 'epoch': 0.14}

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{'loss': 1.9462, 'learning_rate': 0.00038411669102226094, 'epoch': 0.14}

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{'loss': 1.7878, 'learning_rate': 0.0003840799305410494, 'epoch': 0.14}

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{'loss': 1.6714, 'learning_rate': 0.00038404312933275613, 'epoch': 0.14}

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{'loss': 1.5507, 'learning_rate': 0.00038400628740552326, 'epoch': 0.14}

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{'loss': 1.8576, 'learning_rate': 0.0003839694047675019, 'epoch': 0.14}

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{'loss': 1.8755, 'learning_rate': 0.00038393248142685235, 'epoch': 0.14}

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{'loss': 1.8282, 'learning_rate': 0.00038385851267035403, 'epoch': 0.14}

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{'loss': 1.9122, 'learning_rate': 0.00038382146727087066, 'epoch': 0.14}

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{'loss': 1.5237, 'learning_rate': 0.00038378438120148967, 'epoch': 0.14}

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{'loss': 1.7402, 'learning_rate': 0.0003837472544704163, 'epoch': 0.14}

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{'loss': 1.8276, 'learning_rate': 0.0003837100870858647, 'epoch': 0.14}

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{'loss': 1.7938, 'learning_rate': 0.000383672879056058, 'epoch': 0.14}

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{'loss': 1.6635, 'learning_rate': 0.0003836356303892283, 'epoch': 0.14}

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{'loss': 1.9171, 'learning_rate': 0.00038359834109361686, 'epoch': 0.14}

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{'loss': 1.7714, 'learning_rate': 0.0003835610111774738, 'epoch': 0.14}

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{'loss': 1.6811, 'learning_rate': 0.0003835236406490582, 'epoch': 0.14}

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{'loss': 1.9404, 'learning_rate': 0.00038348622951663817, 'epoch': 0.14}

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{'loss': 1.7123, 'learning_rate': 0.0003834487777884908, 'epoch': 0.14}

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{'loss': 1.6184, 'learning_rate': 0.0003834112854729021, 'epoch': 0.14}

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{'loss': 1.7496, 'learning_rate': 0.00038337375257816727, 'epoch': 0.14}

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{'loss': 1.8543, 'learning_rate': 0.0003833361791125903, 'epoch': 0.14}

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{'loss': 1.7844, 'learning_rate': 0.00038329856508448405, 'epoch': 0.14}

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{'loss': 1.8961, 'learning_rate': 0.0003832609105021707, 'epoch': 0.14}

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{'loss': 1.7971, 'learning_rate': 0.00038322321537398105, 'epoch': 0.14}

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{'loss': 1.995, 'learning_rate': 0.00038318547970825513, 'epoch': 0.14}

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{'loss': 1.7378, 'learning_rate': 0.0003831477035133418, 'epoch': 0.14}

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{'loss': 1.8699, 'learning_rate': 0.00038310988679759886, 'epoch': 0.14}

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{'loss': 1.6779, 'learning_rate': 0.0003830720295693932, 'epoch': 0.14}

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{'loss': 1.8467, 'learning_rate': 0.0003830341318371006, 'epoch': 0.14}

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{'loss': 1.6427, 'learning_rate': 0.00038299619360910583, 'epoch': 0.15}

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{'loss': 1.6787, 'learning_rate': 0.0003829582148938025, 'epoch': 0.15}

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{'loss': 1.8548, 'learning_rate': 0.0003829201956995934, 'epoch': 0.15}

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{'loss': 1.8118, 'learning_rate': 0.00038288213603489003, 'epoch': 0.15}

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{'loss': 1.66, 'learning_rate': 0.0003828440359081131, 'epoch': 0.15}

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{'loss': 1.8314, 'learning_rate': 0.00038280589532769204, 'epoch': 0.15}

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{'loss': 1.7294, 'learning_rate': 0.0003827677143020653, 'epoch': 0.15}

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{'loss': 1.8218, 'learning_rate': 0.0003827294928396804, 'epoch': 0.15}

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{'loss': 1.9946, 'learning_rate': 0.0003826912309489937, 'epoch': 0.15}

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{'loss': 1.7639, 'learning_rate': 0.0003826529286384705, 'epoch': 0.15}

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{'loss': 1.85, 'learning_rate': 0.0003826145859165851, 'epoch': 0.15}

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{'loss': 1.8637, 'learning_rate': 0.00038257620279182064, 'epoch': 0.15}

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{'loss': 1.9304, 'learning_rate': 0.0003825377792726692, 'epoch': 0.15}

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{'loss': 1.9155, 'learning_rate': 0.00038249931536763203, 'epoch': 0.15}

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{'loss': 1.7579, 'learning_rate': 0.000382460811085219, 'epoch': 0.15}

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{'loss': 1.8207, 'learning_rate': 0.0003824222664339491, 'epoch': 0.15}

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{'loss': 1.8678, 'learning_rate': 0.0003823836814223503, 'epoch': 0.15}

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{'loss': 1.8197, 'learning_rate': 0.00038234505605895926, 'epoch': 0.15}

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  warnings.warn(

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{'loss': 1.7391, 'learning_rate': 0.00038230639035232176, 'epoch': 0.15}

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{'loss': 1.6486, 'learning_rate': 0.0003822676843109925, 'epoch': 0.15}

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{'loss': 1.8772, 'learning_rate': 0.00038222893794353504, 'epoch': 0.15}

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{'loss': 2.0014, 'learning_rate': 0.0003821901512585219, 'epoch': 0.15}

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{'loss': 1.8011, 'learning_rate': 0.0003821513242645345, 'epoch': 0.15}

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{'loss': 1.7971, 'learning_rate': 0.00038211245697016314, 'epoch': 0.15}

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{'loss': 1.7672, 'learning_rate': 0.00038207354938400717, 'epoch': 0.15}

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{'loss': 1.7807, 'learning_rate': 0.0003820346015146747, 'epoch': 0.15}

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{'loss': 1.7486, 'learning_rate': 0.00038199561337078287, 'epoch': 0.15}

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{'loss': 1.8099, 'learning_rate': 0.00038195658496095763, 'epoch': 0.15}

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{'loss': 1.7971, 'learning_rate': 0.0003819175162938339, 'epoch': 0.15}

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{'loss': 1.6976, 'learning_rate': 0.0003818784073780555, 'epoch': 0.15}

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{'loss': 1.9194, 'learning_rate': 0.00038183925822227513, 'epoch': 0.15}

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{'loss': 1.6152, 'learning_rate': 0.00038180006883515444, 'epoch': 0.15}

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{'loss': 1.8644, 'learning_rate': 0.000381760839225364, 'epoch': 0.15}

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{'loss': 1.7561, 'learning_rate': 0.00038172156940158313, 'epoch': 0.15}

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{'loss': 1.6371, 'learning_rate': 0.0003816822593725002, 'epoch': 0.15}

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{'loss': 1.7635, 'learning_rate': 0.00038164290914681243, 'epoch': 0.15}

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{'loss': 1.6866, 'learning_rate': 0.00038160351873322597, 'epoch': 0.15}

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{'loss': 1.8289, 'learning_rate': 0.0003815640881404557, 'epoch': 0.15}

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{'loss': 1.6568, 'learning_rate': 0.00038152461737722557, 'epoch': 0.15}

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{'loss': 1.7354, 'learning_rate': 0.0003814851064522684, 'epoch': 0.15}

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{'loss': 1.8734, 'learning_rate': 0.00038144555537432585, 'epoch': 0.15}

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{'loss': 1.7821, 'learning_rate': 0.00038140596415214844, 'epoch': 0.15}

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{'loss': 1.7927, 'learning_rate': 0.00038136633279449553, 'epoch': 0.15}

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{'loss': 1.7026, 'learning_rate': 0.0003813266613101356, 'epoch': 0.15}

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{'loss': 1.7643, 'learning_rate': 0.0003812869497078456, 'epoch': 0.15}

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{'loss': 1.8583, 'learning_rate': 0.00038124719799641183, 'epoch': 0.15}

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{'loss': 1.9038, 'learning_rate': 0.0003812074061846291, 'epoch': 0.15}

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{'loss': 1.76, 'learning_rate': 0.00038116757428130113, 'epoch': 0.15}

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{'loss': 1.8124, 'learning_rate': 0.0003811277022952409, 'epoch': 0.15}

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{'loss': 1.9363, 'learning_rate': 0.0003810877902352696, 'epoch': 0.15}

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{'loss': 1.8008, 'learning_rate': 0.0003810478381102178, 'epoch': 0.15}

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{'loss': 1.7251, 'learning_rate': 0.0003810078459289249, 'epoch': 0.15}

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{'loss': 1.9593, 'learning_rate': 0.0003809678137002388, 'epoch': 0.15}

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{'loss': 1.687, 'learning_rate': 0.0003809277414330167, 'epoch': 0.15}

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{'loss': 1.8318, 'learning_rate': 0.00038088762913612433, 'epoch': 0.15}

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{'loss': 1.8841, 'learning_rate': 0.0003808474768184365, 'epoch': 0.15}

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{'loss': 1.6765, 'learning_rate': 0.00038080728448883666, 'epoch': 0.15}

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{'loss': 1.6513, 'learning_rate': 0.0003807670521562174, 'epoch': 0.15}

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{'loss': 1.8738, 'learning_rate': 0.0003807267798294798, 'epoch': 0.15}

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{'loss': 1.8443, 'learning_rate': 0.0003806864675175341, 'epoch': 0.15}

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{'loss': 1.7169, 'learning_rate': 0.00038064611522929925, 'epoch': 0.15}

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{'loss': 1.7395, 'learning_rate': 0.00038060572297370305, 'epoch': 0.15}

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{'loss': 1.7651, 'learning_rate': 0.00038056529075968215, 'epoch': 0.15}

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{'loss': 1.7923, 'learning_rate': 0.0003805248185961821, 'epoch': 0.15}

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{'loss': 1.9696, 'learning_rate': 0.0003804843064921571, 'epoch': 0.15}

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{'loss': 1.8612, 'learning_rate': 0.00038044375445657046, 'epoch': 0.15}

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{'loss': 1.8656, 'learning_rate': 0.00038040316249839416, 'epoch': 0.15}

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{'loss': 1.6985, 'learning_rate': 0.0003803625306266089, 'epoch': 0.15}

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{'loss': 1.7921, 'learning_rate': 0.0003803218588502046, 'epoch': 0.16}

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{'loss': 1.7083, 'learning_rate': 0.00038028114717817953, 'epoch': 0.16}

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{'loss': 1.6507, 'learning_rate': 0.0003802403956195411, 'epoch': 0.16}

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{'loss': 1.7636, 'learning_rate': 0.00038019960418330545, 'epoch': 0.16}

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{'loss': 1.9297, 'learning_rate': 0.00038015877287849754, 'epoch': 0.16}

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{'loss': 1.6816, 'learning_rate': 0.00038011790171415123, 'epoch': 0.16}

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{'loss': 1.7119, 'learning_rate': 0.000380076990699309, 'epoch': 0.16}

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{'loss': 1.7012, 'learning_rate': 0.0003800360398430225, 'epoch': 0.16}

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{'loss': 1.7869, 'learning_rate': 0.0003799950491543517, 'epoch': 0.16}

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{'loss': 1.783, 'learning_rate': 0.00037995401864236586, 'epoch': 0.16}

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{'loss': 1.8421, 'learning_rate': 0.00037991294831614283, 'epoch': 0.16}

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{'loss': 1.7394, 'learning_rate': 0.00037987183818476915, 'epoch': 0.16}

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{'loss': 1.5947, 'learning_rate': 0.00037983068825734033, 'epoch': 0.16}

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{'loss': 1.6738, 'learning_rate': 0.00037978949854296077, 'epoch': 0.16}

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{'loss': 1.8265, 'learning_rate': 0.00037974826905074355, 'epoch': 0.16}

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{'loss': 1.6617, 'learning_rate': 0.00037970699978981046, 'epoch': 0.16}

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{'loss': 1.9785, 'learning_rate': 0.00037966569076929225, 'epoch': 0.16}

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{'loss': 1.7325, 'learning_rate': 0.0003796243419983283, 'epoch': 0.16}

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{'loss': 1.6539, 'learning_rate': 0.0003795829534860671, 'epoch': 0.16}

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{'loss': 1.9021, 'learning_rate': 0.0003795415252416656, 'epoch': 0.16}

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{'loss': 1.7447, 'learning_rate': 0.0003795000572742896, 'epoch': 0.16}

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{'loss': 1.8943, 'learning_rate': 0.00037945854959311386, 'epoch': 0.16}

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{'loss': 1.8136, 'learning_rate': 0.0003794170022073218, 'epoch': 0.16}

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{'loss': 1.75, 'learning_rate': 0.00037937541512610563, 'epoch': 0.16}

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{'loss': 1.7596, 'learning_rate': 0.0003793337883586663, 'epoch': 0.16}

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{'loss': 1.7274, 'learning_rate': 0.00037929212191421363, 'epoch': 0.16}

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{'loss': 1.7417, 'learning_rate': 0.00037925041580196624, 'epoch': 0.16}

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{'loss': 1.6112, 'learning_rate': 0.0003792086700311514, 'epoch': 0.16}

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{'loss': 1.9272, 'learning_rate': 0.0003791668846110053, 'epoch': 0.16}

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{'loss': 1.733, 'learning_rate': 0.00037912505955077275, 'epoch': 0.16}

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{'loss': 1.8467, 'learning_rate': 0.0003790831948597075, 'epoch': 0.16}

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{'loss': 1.9008, 'learning_rate': 0.0003790412905470718, 'epoch': 0.16}

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{'loss': 1.7685, 'learning_rate': 0.000378999346622137, 'epoch': 0.16}

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{'loss': 1.6602, 'learning_rate': 0.00037895736309418305, 'epoch': 0.16}

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{'loss': 1.8033, 'learning_rate': 0.00037891533997249857, 'epoch': 0.16}

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{'loss': 1.7919, 'learning_rate': 0.0003788732772663812, 'epoch': 0.16}

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{'loss': 1.9135, 'learning_rate': 0.000378831174985137, 'epoch': 0.16}

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{'loss': 1.7735, 'learning_rate': 0.000378789033138081, 'epoch': 0.16}

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{'loss': 1.7759, 'learning_rate': 0.0003787468517345371, 'epoch': 0.16}

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{'loss': 1.7214, 'learning_rate': 0.00037870463078383754, 'epoch': 0.16}

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{'loss': 1.8756, 'learning_rate': 0.0003786623702953238, 'epoch': 0.16}

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{'loss': 1.8928, 'learning_rate': 0.00037862007027834573, 'epoch': 0.16}

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{'loss': 1.8846, 'learning_rate': 0.0003785777307422622, 'epoch': 0.16}

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{'loss': 1.7715, 'learning_rate': 0.0003785353516964405, 'epoch': 0.16}

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{'loss': 1.6682, 'learning_rate': 0.0003784929331502571, 'epoch': 0.16}

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{'loss': 1.8008, 'learning_rate': 0.00037845047511309677, 'epoch': 0.16}

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{'loss': 1.8355, 'learning_rate': 0.00037840797759435327, 'epoch': 0.16}

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{'loss': 1.8787, 'learning_rate': 0.00037836544060342904, 'epoch': 0.16}

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{'loss': 1.7593, 'learning_rate': 0.0003783228641497353, 'epoch': 0.16}

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{'loss': 1.7051, 'learning_rate': 0.00037828024824269185, 'epoch': 0.16}

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{'loss': 1.7306, 'learning_rate': 0.0003782375928917274, 'epoch': 0.16}

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{'loss': 1.7865, 'learning_rate': 0.0003781948981062793, 'epoch': 0.16}

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{'loss': 1.6461, 'learning_rate': 0.00037815216389579356, 'epoch': 0.16}

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{'loss': 1.8314, 'learning_rate': 0.0003781093902697251, 'epoch': 0.16}

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{'loss': 1.921, 'learning_rate': 0.0003780665772375374, 'epoch': 0.16}

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{'loss': 1.7857, 'learning_rate': 0.00037802372480870254, 'epoch': 0.16}

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{'loss': 1.8049, 'learning_rate': 0.00037798083299270176, 'epoch': 0.16}

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{'loss': 1.9378, 'learning_rate': 0.00037793790179902457, 'epoch': 0.16}

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{'loss': 1.8001, 'learning_rate': 0.0003778949312371693, 'epoch': 0.16}

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{'loss': 1.5682, 'learning_rate': 0.00037785192131664327, 'epoch': 0.16}

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{'loss': 1.7092, 'learning_rate': 0.000377808872046962, 'epoch': 0.16}

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{'loss': 1.6767, 'learning_rate': 0.00037437667898682065, 'epoch': 0.18}

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{'loss': 1.6173, 'learning_rate': 0.0003743305905131297, 'epoch': 0.18}

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{'loss': 1.595, 'learning_rate': 0.00037428446346936646, 'epoch': 0.18}

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{'loss': 1.878, 'learning_rate': 0.0003742382978657366, 'epoch': 0.18}

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{'loss': 1.8501, 'learning_rate': 0.00037419209371245395, 'epoch': 0.18}

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{'loss': 1.7072, 'learning_rate': 0.0003741458510197411, 'epoch': 0.18}

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{'loss': 1.6475, 'learning_rate': 0.000374099569797829, 'epoch': 0.18}

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{'loss': 1.5823, 'learning_rate': 0.0003740532500569574, 'epoch': 0.18}

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{'loss': 1.7405, 'learning_rate': 0.00037400689180737423, 'epoch': 0.18}

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{'loss': 1.9413, 'learning_rate': 0.00037396049505933614, 'epoch': 0.18}

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{'loss': 1.8405, 'learning_rate': 0.00037391405982310826, 'epoch': 0.18}

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{'loss': 1.8006, 'learning_rate': 0.00037386758610896426, 'epoch': 0.18}

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{'loss': 1.8576, 'learning_rate': 0.00037382107392718624, 'epoch': 0.18}

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{'loss': 1.8148, 'learning_rate': 0.00037377452328806496, 'epoch': 0.18}

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{'loss': 1.9463, 'learning_rate': 0.00037372793420189956, 'epoch': 0.18}

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{'loss': 1.6354, 'learning_rate': 0.00037368130667899763, 'epoch': 0.18}

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{'loss': 1.9025, 'learning_rate': 0.0003736346407296755, 'epoch': 0.18}

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{'loss': 1.8128, 'learning_rate': 0.0003735879363642577, 'epoch': 0.18}

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{'loss': 1.6238, 'learning_rate': 0.0003735411935930776, 'epoch': 0.18}

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{'loss': 1.8424, 'learning_rate': 0.0003734944124264768, 'epoch': 0.18}

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{'loss': 1.7494, 'learning_rate': 0.00037344759287480546, 'epoch': 0.18}

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{'loss': 1.8493, 'learning_rate': 0.00037340073494842224, 'epoch': 0.18}

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{'loss': 1.753, 'learning_rate': 0.0003733538386576943, 'epoch': 0.18}

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{'loss': 1.7025, 'learning_rate': 0.0003733069040129974, 'epoch': 0.18}

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{'loss': 1.7748, 'learning_rate': 0.00037325993102471546, 'epoch': 0.18}

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{'loss': 1.7567, 'learning_rate': 0.00037321291970324134, 'epoch': 0.18}

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{'loss': 1.8683, 'learning_rate': 0.00037316587005897605, 'epoch': 0.18}

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{'loss': 1.8389, 'learning_rate': 0.00037311878210232916, 'epoch': 0.18}

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{'loss': 1.9286, 'learning_rate': 0.0003730716558437187, 'epoch': 0.18}

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{'loss': 1.6945, 'learning_rate': 0.0003730244912935712, 'epoch': 0.18}

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{'loss': 1.781, 'learning_rate': 0.0003729772884623217, 'epoch': 0.18}

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{'loss': 1.8065, 'learning_rate': 0.00037293004736041365, 'epoch': 0.18}

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{'loss': 1.6522, 'learning_rate': 0.000372882767998299, 'epoch': 0.18}

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{'loss': 1.7327, 'learning_rate': 0.0003728354503864382, 'epoch': 0.18}

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{'loss': 1.6261, 'learning_rate': 0.00037278809453530003, 'epoch': 0.18}

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{'loss': 1.7236, 'learning_rate': 0.00037274070045536183, 'epoch': 0.18}

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{'loss': 1.8231, 'learning_rate': 0.0003726932681571095, 'epoch': 0.18}

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{'loss': 1.8308, 'learning_rate': 0.000372645797651037, 'epoch': 0.18}

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{'loss': 1.8109, 'learning_rate': 0.0003725982889476474, 'epoch': 0.18}

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{'loss': 1.8557, 'learning_rate': 0.0003725507420574516, 'epoch': 0.18}

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{'loss': 1.6892, 'learning_rate': 0.00037250315699096926, 'epoch': 0.18}

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{'loss': 1.7482, 'learning_rate': 0.00037245553375872835, 'epoch': 0.18}

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{'loss': 1.6938, 'learning_rate': 0.0003724078723712655, 'epoch': 0.18}

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{'loss': 1.7827, 'learning_rate': 0.0003723601728391255, 'epoch': 0.18}

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{'loss': 1.8789, 'learning_rate': 0.00037231243517286174, 'epoch': 0.18}

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{'loss': 1.8025, 'learning_rate': 0.0003722646593830361, 'epoch': 0.18}

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{'loss': 1.7255, 'learning_rate': 0.0003722168454802188, 'epoch': 0.18}

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{'loss': 1.7843, 'learning_rate': 0.00037216899347498845, 'epoch': 0.18}

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{'loss': 1.7831, 'learning_rate': 0.00037212110337793213, 'epoch': 0.18}

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{'loss': 1.9191, 'learning_rate': 0.00037207317519964543, 'epoch': 0.18}

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{'loss': 1.6694, 'learning_rate': 0.0003720252089507323, 'epoch': 0.18}

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{'loss': 1.7753, 'learning_rate': 0.0003719772046418052, 'epoch': 0.18}

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{'loss': 1.615, 'learning_rate': 0.00037192916228348473, 'epoch': 0.18}

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{'loss': 1.7757, 'learning_rate': 0.0003718810818864001, 'epoch': 0.18}

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{'loss': 1.8509, 'learning_rate': 0.0003718329634611892, 'epoch': 0.18}

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{'loss': 1.7939, 'learning_rate': 0.0003717848070184979, 'epoch': 0.18}

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{'loss': 1.8382, 'learning_rate': 0.0003717366125689806, 'epoch': 0.18}

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{'loss': 1.7896, 'learning_rate': 0.0003716883801233003, 'epoch': 0.18}

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{'loss': 1.6561, 'learning_rate': 0.0003716401096921281, 'epoch': 0.18}

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{'loss': 1.8774, 'learning_rate': 0.0003715918012861439, 'epoch': 0.18}

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{'loss': 1.7219, 'learning_rate': 0.0003715434549160356, 'epoch': 0.18}

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{'loss': 1.6798, 'learning_rate': 0.0003714950705924998, 'epoch': 0.18}

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{'loss': 1.8329, 'learning_rate': 0.0003714466483262412, 'epoch': 0.18}

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{'loss': 1.7112, 'learning_rate': 0.00037139818812797327, 'epoch': 0.18}

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{'loss': 1.6721, 'learning_rate': 0.0003713496900084175, 'epoch': 0.18}

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{'loss': 1.6087, 'learning_rate': 0.00037130115397830405, 'epoch': 0.18}

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{'loss': 1.5999, 'learning_rate': 0.00037125258004837134, 'epoch': 0.18}

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{'loss': 1.65, 'learning_rate': 0.00037120396822936617, 'epoch': 0.19}

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{'loss': 1.7115, 'learning_rate': 0.0003711553185320437, 'epoch': 0.19}

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{'loss': 1.76, 'learning_rate': 0.00037110663096716763, 'epoch': 0.19}

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{'loss': 1.7776, 'learning_rate': 0.00037105790554550983, 'epoch': 0.19}

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{'loss': 1.6147, 'learning_rate': 0.0003710091422778507, 'epoch': 0.19}

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{'loss': 1.7358, 'learning_rate': 0.0003709603411749789, 'epoch': 0.19}

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{'loss': 1.79, 'learning_rate': 0.00037091150224769154, 'epoch': 0.19}

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{'loss': 1.6942, 'learning_rate': 0.00037086262550679405, 'epoch': 0.19}

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{'loss': 1.7101, 'learning_rate': 0.0003708137109631003, 'epoch': 0.19}

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{'loss': 1.6912, 'learning_rate': 0.0003707647586274324, 'epoch': 0.19}

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{'loss': 1.7702, 'learning_rate': 0.0003292248956509754, 'epoch': 0.29}

 29%|██▊       | 1946/6779 [1:12:10<3:08:54,  2.35s/it]
 29%|██▊       | 1947/6779 [1:12:13<3:14:37,  2.42s/it]
                                                       
{'loss': 1.5853, 'learning_rate': 0.0003291530812626886, 'epoch': 0.29}

 29%|██▊       | 1947/6779 [1:12:13<3:14:37,  2.42s/it]
 29%|██▊       | 1948/6779 [1:12:15<3:09:20,  2.35s/it]
                                                       
{'loss': 1.6864, 'learning_rate': 0.00032908123829970555, 'epoch': 0.29}

 29%|██▊       | 1948/6779 [1:12:15<3:09:20,  2.35s/it]
 29%|██▉       | 1949/6779 [1:12:17<3:06:00,  2.31s/it]
                                                       
{'loss': 1.7009, 'learning_rate': 0.00032900936677792125, 'epoch': 0.29}

 29%|██▉       | 1949/6779 [1:12:17<3:06:00,  2.31s/it]
 29%|██▉       | 1950/6779 [1:12:19<2:59:08,  2.23s/it]
                                                       
{'loss': 1.8318, 'learning_rate': 0.000328937466713237, 'epoch': 0.29}

 29%|██▉       | 1950/6779 [1:12:19<2:59:08,  2.23s/it]
 29%|██▉       | 1951/6779 [1:12:21<3:01:59,  2.26s/it]
                                                       
{'loss': 1.7907, 'learning_rate': 0.00032886553812156073, 'epoch': 0.29}

 29%|██▉       | 1951/6779 [1:12:21<3:01:59,  2.26s/it]
 29%|██▉       | 1952/6779 [1:12:24<2:59:44,  2.23s/it]
                                                       
{'loss': 1.7246, 'learning_rate': 0.00032879358101880606, 'epoch': 0.29}

 29%|██▉       | 1952/6779 [1:12:24<2:59:44,  2.23s/it]
 29%|██▉       | 1953/6779 [1:12:26<2:54:16,  2.17s/it]
                                                       
{'loss': 1.8426, 'learning_rate': 0.0003287215954208934, 'epoch': 0.29}

 29%|██▉       | 1953/6779 [1:12:26<2:54:16,  2.17s/it]
 29%|██▉       | 1954/6779 [1:12:28<2:57:58,  2.21s/it]
                                                       
{'loss': 1.8673, 'learning_rate': 0.00032864958134374943, 'epoch': 0.29}

 29%|██▉       | 1954/6779 [1:12:28<2:57:58,  2.21s/it]
 29%|██▉       | 1955/6779 [1:12:30<2:55:16,  2.18s/it]
                                                       
{'loss': 1.8725, 'learning_rate': 0.0003285775388033069, 'epoch': 0.29}

 29%|██▉       | 1955/6779 [1:12:30<2:55:16,  2.18s/it]
 29%|██▉       | 1956/6779 [1:12:32<2:53:31,  2.16s/it]
                                                       
{'loss': 1.8212, 'learning_rate': 0.000328505467815505, 'epoch': 0.29}

 29%|██▉       | 1956/6779 [1:12:32<2:53:31,  2.16s/it]
 29%|██▉       | 1957/6779 [1:12:34<2:55:02,  2.18s/it]
                                                       
{'loss': 1.7711, 'learning_rate': 0.00032843336839628927, 'epoch': 0.29}

 29%|██▉       | 1957/6779 [1:12:34<2:55:02,  2.18s/it]
 29%|██▉       | 1958/6779 [1:12:36<2:49:34,  2.11s/it]
                                                       
{'loss': 1.6974, 'learning_rate': 0.00032836124056161137, 'epoch': 0.29}

 29%|██▉       | 1958/6779 [1:12:36<2:49:34,  2.11s/it]
 29%|██▉       | 1959/6779 [1:12:39<2:55:27,  2.18s/it]
                                                       
{'loss': 1.8601, 'learning_rate': 0.0003282890843274294, 'epoch': 0.29}

 29%|██▉       | 1959/6779 [1:12:39<2:55:27,  2.18s/it]
 29%|██▉       | 1960/6779 [1:12:41<2:56:19,  2.20s/it]
                                                       
{'loss': 1.706, 'learning_rate': 0.00032821689970970777, 'epoch': 0.29}

 29%|██▉       | 1960/6779 [1:12:41<2:56:19,  2.20s/it]
 29%|██▉       | 1961/6779 [1:12:43<2:55:39,  2.19s/it]
                                                       
{'loss': 1.5503, 'learning_rate': 0.00032814468672441696, 'epoch': 0.29}

 29%|██▉       | 1961/6779 [1:12:43<2:55:39,  2.19s/it]
 29%|██▉       | 1962/6779 [1:12:45<2:54:40,  2.18s/it]
                                                       
{'loss': 1.7486, 'learning_rate': 0.0003280724453875339, 'epoch': 0.29}

 29%|██▉       | 1962/6779 [1:12:45<2:54:40,  2.18s/it]
 29%|██▉       | 1963/6779 [1:12:48<2:57:00,  2.21s/it]
                                                       
{'loss': 1.7722, 'learning_rate': 0.00032800017571504175, 'epoch': 0.29}

 29%|██▉       | 1963/6779 [1:12:48<2:57:00,  2.21s/it]
 29%|██▉       | 1964/6779 [1:12:50<2:56:05,  2.19s/it]
                                                       
{'loss': 1.6901, 'learning_rate': 0.0003279278777229299, 'epoch': 0.29}

 29%|██▉       | 1964/6779 [1:12:50<2:56:05,  2.19s/it]
 29%|██▉       | 1965/6779 [1:12:52<2:57:23,  2.21s/it]
                                                       
{'loss': 1.8429, 'learning_rate': 0.0003278555514271942, 'epoch': 0.29}

 29%|██▉       | 1965/6779 [1:12:52<2:57:23,  2.21s/it]
 29%|██▉       | 1966/6779 [1:12:54<2:52:12,  2.15s/it]
                                                       
{'loss': 1.8266, 'learning_rate': 0.0003277831968438364, 'epoch': 0.29}

 29%|██▉       | 1966/6779 [1:12:54<2:52:12,  2.15s/it]
 29%|██▉       | 1967/6779 [1:12:56<2:59:07,  2.23s/it]
                                                       
{'loss': 1.5982, 'learning_rate': 0.00032771081398886486, 'epoch': 0.29}

 29%|██▉       | 1967/6779 [1:12:56<2:59:07,  2.23s/it]
 29%|██▉       | 1968/6779 [1:12:59<2:58:20,  2.22s/it]
                                                       
{'loss': 1.7823, 'learning_rate': 0.000327638402878294, 'epoch': 0.29}

 29%|██▉       | 1968/6779 [1:12:59<2:58:20,  2.22s/it]
 29%|██▉       | 1969/6779 [1:13:01<3:01:21,  2.26s/it]
                                                       
{'loss': 1.7353, 'learning_rate': 0.00032756596352814457, 'epoch': 0.29}

 29%|██▉       | 1969/6779 [1:13:01<3:01:21,  2.26s/it]
 29%|██▉       | 1970/6779 [1:13:03<2:57:14,  2.21s/it]
                                                       
{'loss': 1.7075, 'learning_rate': 0.0003274934959544434, 'epoch': 0.29}

 29%|██▉       | 1970/6779 [1:13:03<2:57:14,  2.21s/it]
 29%|██▉       | 1971/6779 [1:13:05<2:55:15,  2.19s/it]
                                                       
{'loss': 1.7154, 'learning_rate': 0.00032742100017322395, 'epoch': 0.29}

 29%|██▉       | 1971/6779 [1:13:05<2:55:15,  2.19s/it]
 29%|██▉       | 1972/6779 [1:13:07<2:55:00,  2.18s/it]
                                                       
{'loss': 1.647, 'learning_rate': 0.00032734847620052545, 'epoch': 0.29}

 29%|██▉       | 1972/6779 [1:13:07<2:55:00,  2.18s/it]
 29%|██▉       | 1973/6779 [1:13:09<2:52:39,  2.16s/it]
                                                       
{'loss': 1.7006, 'learning_rate': 0.0003272759240523937, 'epoch': 0.29}

 29%|██▉       | 1973/6779 [1:13:09<2:52:39,  2.16s/it]
 29%|██▉       | 1974/6779 [1:13:12<2:52:36,  2.16s/it]
                                                       
{'loss': 1.8209, 'learning_rate': 0.0003272033437448806, 'epoch': 0.29}

 29%|██▉       | 1974/6779 [1:13:12<2:52:36,  2.16s/it]
 29%|██▉       | 1975/6779 [1:13:14<2:49:39,  2.12s/it]
                                                       
{'loss': 1.6779, 'learning_rate': 0.0003271307352940443, 'epoch': 0.29}

 29%|██▉       | 1975/6779 [1:13:14<2:49:39,  2.12s/it]
 29%|██▉       | 1976/6779 [1:13:16<2:53:33,  2.17s/it]
                                                       
{'loss': 1.7442, 'learning_rate': 0.0003270580987159492, 'epoch': 0.29}

 29%|██▉       | 1976/6779 [1:13:16<2:53:33,  2.17s/it]
 29%|██▉       | 1977/6779 [1:13:18<2:56:21,  2.20s/it]
                                                       
{'loss': 1.6925, 'learning_rate': 0.0003269854340266659, 'epoch': 0.29}

 29%|██▉       | 1977/6779 [1:13:18<2:56:21,  2.20s/it]
 29%|██▉       | 1978/6779 [1:13:20<2:54:14,  2.18s/it]
                                                       
{'loss': 1.8078, 'learning_rate': 0.00032691274124227123, 'epoch': 0.29}

 29%|██▉       | 1978/6779 [1:13:20<2:54:14,  2.18s/it]
 29%|██▉       | 1979/6779 [1:13:23<2:55:07,  2.19s/it]
                                                       
{'loss': 1.8137, 'learning_rate': 0.0003268400203788482, 'epoch': 0.29}

 29%|██▉       | 1979/6779 [1:13:23<2:55:07,  2.19s/it]
 29%|██▉       | 1980/6779 [1:13:25<2:58:15,  2.23s/it]
                                                       
{'loss': 1.8213, 'learning_rate': 0.0003267672714524861, 'epoch': 0.29}

 29%|██▉       | 1980/6779 [1:13:25<2:58:15,  2.23s/it]
 29%|██▉       | 1981/6779 [1:13:27<3:01:57,  2.28s/it]
                                                       
{'loss': 1.8623, 'learning_rate': 0.0003266944944792803, 'epoch': 0.29}

 29%|██▉       | 1981/6779 [1:13:27<3:01:57,  2.28s/it]
 29%|██▉       | 1982/6779 [1:13:29<2:59:36,  2.25s/it]
                                                       
{'loss': 1.7186, 'learning_rate': 0.00032662168947533265, 'epoch': 0.29}

 29%|██▉       | 1982/6779 [1:13:29<2:59:36,  2.25s/it]
 29%|██▉       | 1983/6779 [1:13:32<2:59:45,  2.25s/it]
                                                       
{'loss': 1.8255, 'learning_rate': 0.00032654885645675086, 'epoch': 0.29}

 29%|██▉       | 1983/6779 [1:13:32<2:59:45,  2.25s/it]
 29%|██▉       | 1984/6779 [1:13:34<2:54:55,  2.19s/it]
                                                       
{'loss': 1.673, 'learning_rate': 0.0003264759954396491, 'epoch': 0.29}

 29%|██▉       | 1984/6779 [1:13:34<2:54:55,  2.19s/it]
 29%|██▉       | 1985/6779 [1:13:36<2:52:11,  2.16s/it]
                                                       
{'loss': 1.6989, 'learning_rate': 0.0003264031064401475, 'epoch': 0.29}

 29%|██▉       | 1985/6779 [1:13:36<2:52:11,  2.16s/it]
 29%|██▉       | 1986/6779 [1:13:38<2:49:09,  2.12s/it]
                                                       
{'loss': 1.7535, 'learning_rate': 0.00032633018947437266, 'epoch': 0.29}

 29%|██▉       | 1986/6779 [1:13:38<2:49:09,  2.12s/it]
 29%|██▉       | 1987/6779 [1:13:40<2:47:09,  2.09s/it]
                                                       
{'loss': 1.8201, 'learning_rate': 0.0003262572445584571, 'epoch': 0.29}

 29%|██▉       | 1987/6779 [1:13:40<2:47:09,  2.09s/it]
 29%|██▉       | 1988/6779 [1:13:42<2:49:04,  2.12s/it]
                                                       
{'loss': 1.7521, 'learning_rate': 0.0003261842717085397, 'epoch': 0.29}

 29%|██▉       | 1988/6779 [1:13:42<2:49:04,  2.12s/it]
 29%|██▉       | 1989/6779 [1:13:45<3:00:48,  2.26s/it]
                                                       
{'loss': 1.7498, 'learning_rate': 0.0003261112709407655, 'epoch': 0.29}

 29%|██▉       | 1989/6779 [1:13:45<3:00:48,  2.26s/it]
 29%|██▉       | 1990/6779 [1:13:47<2:59:05,  2.24s/it]
                                                       
{'loss': 1.6727, 'learning_rate': 0.00032603824227128556, 'epoch': 0.29}

 29%|██▉       | 1990/6779 [1:13:47<2:59:05,  2.24s/it]
 29%|██▉       | 1991/6779 [1:13:49<2:58:08,  2.23s/it]
                                                       
{'loss': 1.9731, 'learning_rate': 0.0003259651857162574, 'epoch': 0.29}

 29%|██▉       | 1991/6779 [1:13:49<2:58:08,  2.23s/it]
 29%|██▉       | 1992/6779 [1:13:51<2:54:46,  2.19s/it]
                                                       
{'loss': 1.8877, 'learning_rate': 0.0003258921012918444, 'epoch': 0.29}

 29%|██▉       | 1992/6779 [1:13:51<2:54:46,  2.19s/it]
 29%|██▉       | 1993/6779 [1:13:53<2:53:46,  2.18s/it]
                                                       
{'loss': 1.7571, 'learning_rate': 0.00032581898901421635, 'epoch': 0.29}

 29%|██▉       | 1993/6779 [1:13:53<2:53:46,  2.18s/it]
 29%|██▉       | 1994/6779 [1:13:55<2:53:21,  2.17s/it]
                                                       
{'loss': 1.7152, 'learning_rate': 0.0003257458488995491, 'epoch': 0.29}

 29%|██▉       | 1994/6779 [1:13:55<2:53:21,  2.17s/it]
 29%|██▉       | 1995/6779 [1:13:58<2:53:01,  2.17s/it]
                                                       
{'loss': 1.8582, 'learning_rate': 0.00032567268096402453, 'epoch': 0.29}

 29%|██▉       | 1995/6779 [1:13:58<2:53:01,  2.17s/it]
 29%|██▉       | 1996/6779 [1:14:00<2:53:36,  2.18s/it]
                                                       
{'loss': 1.8215, 'learning_rate': 0.00032559948522383093, 'epoch': 0.29}

 29%|██▉       | 1996/6779 [1:14:00<2:53:36,  2.18s/it]
 29%|██▉       | 1997/6779 [1:14:02<3:01:07,  2.27s/it]
                                                       
{'loss': 1.7961, 'learning_rate': 0.0003255262616951626, 'epoch': 0.29}

 29%|██▉       | 1997/6779 [1:14:02<3:01:07,  2.27s/it]
 29%|██▉       | 1998/6779 [1:14:05<3:00:21,  2.26s/it]
                                                       
{'loss': 1.7723, 'learning_rate': 0.00032545301039422, 'epoch': 0.29}

 29%|██▉       | 1998/6779 [1:14:05<3:00:21,  2.26s/it]
 29%|██▉       | 1999/6779 [1:14:07<2:59:42,  2.26s/it]
                                                       
{'loss': 1.8633, 'learning_rate': 0.00032537973133720964, 'epoch': 0.29}

 29%|██▉       | 1999/6779 [1:14:07<2:59:42,  2.26s/it]
 30%|██▉       | 2000/6779 [1:14:09<3:02:02,  2.29s/it]
                                                       
{'loss': 1.664, 'learning_rate': 0.0003253064245403445, 'epoch': 0.3}

 30%|██▉       | 2000/6779 [1:14:09<3:02:02,  2.29s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

 30%|██▉       | 2001/6779 [1:14:12<3:10:45,  2.40s/it]
                                                       
{'loss': 1.7441, 'learning_rate': 0.0003252330900198432, 'epoch': 0.3}

 30%|██▉       | 2001/6779 [1:14:12<3:10:45,  2.40s/it]
 30%|██▉       | 2002/6779 [1:14:14<3:05:08,  2.33s/it]
                                                       
{'loss': 1.8134, 'learning_rate': 0.00032515972779193094, 'epoch': 0.3}

 30%|██▉       | 2002/6779 [1:14:14<3:05:08,  2.33s/it]
 30%|██▉       | 2003/6779 [1:14:16<3:00:06,  2.26s/it]
                                                       
{'loss': 1.6695, 'learning_rate': 0.0003250863378728388, 'epoch': 0.3}

 30%|██▉       | 2003/6779 [1:14:16<3:00:06,  2.26s/it]
 30%|██▉       | 2004/6779 [1:14:18<3:01:09,  2.28s/it]
                                                       
{'loss': 1.6399, 'learning_rate': 0.00032501292027880413, 'epoch': 0.3}

 30%|██▉       | 2004/6779 [1:14:18<3:01:09,  2.28s/it]
 30%|██▉       | 2005/6779 [1:14:21<3:01:02,  2.28s/it]
                                                       
{'loss': 1.7118, 'learning_rate': 0.0003249394750260703, 'epoch': 0.3}

 30%|██▉       | 2005/6779 [1:14:21<3:01:02,  2.28s/it]
 30%|██▉       | 2006/6779 [1:14:23<3:01:54,  2.29s/it]
                                                       
{'loss': 1.6273, 'learning_rate': 0.00032486600213088677, 'epoch': 0.3}

 30%|██▉       | 2006/6779 [1:14:23<3:01:54,  2.29s/it]
 30%|██▉       | 2007/6779 [1:14:25<2:58:56,  2.25s/it]
                                                       
{'loss': 1.8432, 'learning_rate': 0.00032479250160950926, 'epoch': 0.3}

 30%|██▉       | 2007/6779 [1:14:25<2:58:56,  2.25s/it]
 30%|██▉       | 2008/6779 [1:14:27<2:55:41,  2.21s/it]
                                                       
{'loss': 1.6697, 'learning_rate': 0.00032471897347819946, 'epoch': 0.3}

 30%|██▉       | 2008/6779 [1:14:27<2:55:41,  2.21s/it]
 30%|██▉       | 2009/6779 [1:14:31<3:25:02,  2.58s/it]
                                                       
{'loss': 1.7412, 'learning_rate': 0.0003246454177532253, 'epoch': 0.3}

 30%|██▉       | 2009/6779 [1:14:31<3:25:02,  2.58s/it]
 30%|██▉       | 2010/6779 [1:14:33<3:14:47,  2.45s/it]
                                                       
{'loss': 1.5673, 'learning_rate': 0.00032457183445086063, 'epoch': 0.3}

 30%|██▉       | 2010/6779 [1:14:33<3:14:47,  2.45s/it]
 30%|██▉       | 2011/6779 [1:14:35<3:05:55,  2.34s/it]
                                                       
{'loss': 1.5494, 'learning_rate': 0.0003244982235873856, 'epoch': 0.3}

 30%|██▉       | 2011/6779 [1:14:35<3:05:55,  2.34s/it]
 30%|██▉       | 2012/6779 [1:14:37<2:59:52,  2.26s/it]
                                                       
{'loss': 1.8153, 'learning_rate': 0.0003244245851790864, 'epoch': 0.3}

 30%|██▉       | 2012/6779 [1:14:37<2:59:52,  2.26s/it]
 30%|██▉       | 2013/6779 [1:14:39<2:52:59,  2.18s/it]
                                                       
{'loss': 1.7135, 'learning_rate': 0.0003243509192422551, 'epoch': 0.3}

 30%|██▉       | 2013/6779 [1:14:39<2:52:59,  2.18s/it]
 30%|██▉       | 2014/6779 [1:14:41<2:52:27,  2.17s/it]
                                                       
{'loss': 1.7113, 'learning_rate': 0.0003242772257931904, 'epoch': 0.3}

 30%|██▉       | 2014/6779 [1:14:41<2:52:27,  2.17s/it]
 30%|██▉       | 2015/6779 [1:14:43<2:54:57,  2.20s/it]
                                                       
{'loss': 1.8381, 'learning_rate': 0.0003242035048481964, 'epoch': 0.3}

 30%|██▉       | 2015/6779 [1:14:43<2:54:57,  2.20s/it]
 30%|██▉       | 2016/6779 [1:14:46<2:54:46,  2.20s/it]
                                                       
{'loss': 1.7193, 'learning_rate': 0.00032412975642358375, 'epoch': 0.3}

 30%|██▉       | 2016/6779 [1:14:46<2:54:46,  2.20s/it]
 30%|██▉       | 2017/6779 [1:14:48<2:53:11,  2.18s/it]
                                                       
{'loss': 1.7164, 'learning_rate': 0.000324055980535669, 'epoch': 0.3}

 30%|██▉       | 2017/6779 [1:14:48<2:53:11,  2.18s/it]
 30%|██▉       | 2018/6779 [1:14:50<2:53:17,  2.18s/it]
                                                       
{'loss': 1.6114, 'learning_rate': 0.00032398217720077494, 'epoch': 0.3}

 30%|██▉       | 2018/6779 [1:14:50<2:53:17,  2.18s/it]
 30%|██▉       | 2019/6779 [1:14:52<2:52:55,  2.18s/it]
                                                       
{'loss': 1.6986, 'learning_rate': 0.00032390834643523025, 'epoch': 0.3}

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{'loss': 1.6303, 'learning_rate': 0.00024417657015641083, 'epoch': 0.44}

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{'loss': 1.6865, 'learning_rate': 0.00024408481511849388, 'epoch': 0.44}

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{'loss': 1.7052, 'learning_rate': 0.00024399305032695595, 'epoch': 0.44}

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{'loss': 1.5688, 'learning_rate': 0.00024390127580209973, 'epoch': 0.44}

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{'loss': 1.8144, 'learning_rate': 0.00024380949156422994, 'epoch': 0.44}

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{'loss': 1.7187, 'learning_rate': 0.00024371769763365366, 'epoch': 0.44}

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{'loss': 1.7669, 'learning_rate': 0.00024362589403068003, 'epoch': 0.44}

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{'loss': 1.6387, 'learning_rate': 0.00024353408077562016, 'epoch': 0.44}

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{'loss': 1.5679, 'learning_rate': 0.00024344225788878752, 'epoch': 0.44}

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{'loss': 1.4543, 'learning_rate': 0.0002433504253904976, 'epoch': 0.44}

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{'loss': 1.7237, 'learning_rate': 0.00024325858330106806, 'epoch': 0.44}

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{'loss': 1.6826, 'learning_rate': 0.0002431667316408186, 'epoch': 0.44}

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{'loss': 1.7609, 'learning_rate': 0.00024307487043007114, 'epoch': 0.44}

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{'loss': 1.7442, 'learning_rate': 0.00024298299968914972, 'epoch': 0.44}

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{'loss': 1.867, 'learning_rate': 0.0002428911194383804, 'epoch': 0.44}

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{'loss': 2.0102, 'learning_rate': 0.0002427992296980913, 'epoch': 0.44}

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{'loss': 1.9693, 'learning_rate': 0.0002427073304886129, 'epoch': 0.44}

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{'loss': 1.6912, 'learning_rate': 0.0002426154218302775, 'epoch': 0.44}

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{'loss': 1.6105, 'learning_rate': 0.00024252350374341953, 'epoch': 0.44}

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{'loss': 1.652, 'learning_rate': 0.00024243157624837566, 'epoch': 0.44}

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{'loss': 1.7776, 'learning_rate': 0.00024233963936548452, 'epoch': 0.44}

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{'loss': 1.8523, 'learning_rate': 0.00024233963936548452, 'epoch': 0.44}

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{'loss': 1.4914, 'learning_rate': 0.00024224769311508682, 'epoch': 0.44}

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{'loss': 1.6745, 'learning_rate': 0.00024215573751752535, 'epoch': 0.44}

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{'loss': 1.5334, 'learning_rate': 0.00024206377259314513, 'epoch': 0.44}

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{'loss': 1.6116, 'learning_rate': 0.00024197179836229295, 'epoch': 0.44}

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{'loss': 1.7426, 'learning_rate': 0.00024187981484531784, 'epoch': 0.44}

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{'loss': 1.7405, 'learning_rate': 0.0002417878220625708, 'epoch': 0.44}

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{'loss': 1.8009, 'learning_rate': 0.00024169582003440504, 'epoch': 0.44}

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{'loss': 1.5976, 'learning_rate': 0.0002416038087811757, 'epoch': 0.44}

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{'loss': 1.7503, 'learning_rate': 0.00024151178832323983, 'epoch': 0.44}

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{'loss': 1.6757, 'learning_rate': 0.00024141975868095678, 'epoch': 0.44}

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{'loss': 1.7599, 'learning_rate': 0.00024132771987468786, 'epoch': 0.44}

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{'loss': 1.8226, 'learning_rate': 0.0002412356719247962, 'epoch': 0.44}

 44%|████▍     | 3000/6779 [1:51:12<2:13:57,  2.13s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.6389, 'learning_rate': 0.00024114361485164722, 'epoch': 0.44}

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{'loss': 1.6279, 'learning_rate': 0.0002410515486756082, 'epoch': 0.44}

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{'loss': 1.6954, 'learning_rate': 0.00024095947341704844, 'epoch': 0.44}

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{'loss': 1.7028, 'learning_rate': 0.00024086738909633932, 'epoch': 0.44}

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{'loss': 1.7459, 'learning_rate': 0.00024077529573385427, 'epoch': 0.44}

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{'loss': 1.7873, 'learning_rate': 0.0002406831933499686, 'epoch': 0.44}

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{'loss': 1.7276, 'learning_rate': 0.0002405910819650596, 'epoch': 0.44}

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{'loss': 1.7481, 'learning_rate': 0.00024049896159950666, 'epoch': 0.44}

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{'loss': 1.7827, 'learning_rate': 0.00024040683227369116, 'epoch': 0.44}

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{'loss': 1.6489, 'learning_rate': 0.00024031469400799632, 'epoch': 0.44}

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{'loss': 1.7176, 'learning_rate': 0.00024022254682280742, 'epoch': 0.44}

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{'loss': 1.71, 'learning_rate': 0.00024013039073851182, 'epoch': 0.44}

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{'loss': 1.7907, 'learning_rate': 0.00024003822577549873, 'epoch': 0.44}

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{'loss': 1.7828, 'learning_rate': 0.0002399460519541593, 'epoch': 0.44}

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{'loss': 1.4706, 'learning_rate': 0.0002398538692948866, 'epoch': 0.44}

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{'loss': 1.8753, 'learning_rate': 0.000239761677818076, 'epoch': 0.44}

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{'loss': 1.7808, 'learning_rate': 0.0002396694775441244, 'epoch': 0.45}

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{'loss': 1.5231, 'learning_rate': 0.0002395772684934307, 'epoch': 0.45}

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{'loss': 1.7732, 'learning_rate': 0.00023948505068639605, 'epoch': 0.45}

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{'loss': 1.7739, 'learning_rate': 0.00023939282414342327, 'epoch': 0.45}

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{'loss': 1.718, 'learning_rate': 0.00023930058888491714, 'epoch': 0.45}

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{'loss': 1.7884, 'learning_rate': 0.00023920834493128439, 'epoch': 0.45}

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{'loss': 1.762, 'learning_rate': 0.00023911609230293376, 'epoch': 0.45}

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{'loss': 1.7647, 'learning_rate': 0.00023902383102027591, 'epoch': 0.45}

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{'loss': 1.6898, 'learning_rate': 0.00023893156110372314, 'epoch': 0.45}

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{'loss': 1.788, 'learning_rate': 0.00023883928257369008, 'epoch': 0.45}

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{'loss': 1.7465, 'learning_rate': 0.00023874699545059288, 'epoch': 0.45}

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{'loss': 1.6468, 'learning_rate': 0.0002386546997548499, 'epoch': 0.45}

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{'loss': 1.8166, 'learning_rate': 0.00023856239550688112, 'epoch': 0.45}

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{'loss': 1.6667, 'learning_rate': 0.00023847008272710868, 'epoch': 0.45}

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{'loss': 1.5991, 'learning_rate': 0.00023837776143595645, 'epoch': 0.45}

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{'loss': 1.6904, 'learning_rate': 0.00023828543165385017, 'epoch': 0.45}

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{'loss': 1.5948, 'learning_rate': 0.00023819309340121755, 'epoch': 0.45}

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{'loss': 1.7908, 'learning_rate': 0.0002381007466984881, 'epoch': 0.45}

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{'loss': 1.5006, 'learning_rate': 0.0002380083915660932, 'epoch': 0.45}

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{'loss': 1.7187, 'learning_rate': 0.00023791602802446615, 'epoch': 0.45}

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{'loss': 1.71, 'learning_rate': 0.00023782365609404212, 'epoch': 0.45}

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{'loss': 1.6517, 'learning_rate': 0.00015061017436012684, 'epoch': 0.59}

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{'loss': 1.6019, 'learning_rate': 0.00015033674322455592, 'epoch': 0.59}

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{'loss': 1.7168, 'learning_rate': 0.0001501545107063977, 'epoch': 0.59}

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{'loss': 1.7463, 'learning_rate': 0.0001500634109794665, 'epoch': 0.59}

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{'loss': 1.7612, 'learning_rate': 0.0001499723223008421, 'epoch': 0.59}

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{'loss': 1.5439, 'learning_rate': 0.00014988124469067753, 'epoch': 0.59}

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{'loss': 1.7452, 'learning_rate': 0.00014979017816912343, 'epoch': 0.59}

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{'loss': 1.5676, 'learning_rate': 0.00014960807847243682, 'epoch': 0.59}

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{'loss': 1.7048, 'learning_rate': 0.0001494260233719381, 'epoch': 0.59}

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{'loss': 1.5792, 'learning_rate': 0.00014933501259560962, 'epoch': 0.59}

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{'loss': 1.6388, 'learning_rate': 0.00014915302469147362, 'epoch': 0.59}

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{'loss': 1.6817, 'learning_rate': 0.00014888012725853498, 'epoch': 0.59}

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{'loss': 1.6818, 'learning_rate': 0.00014860733161652117, 'epoch': 0.59}

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{'loss': 1.4172, 'learning_rate': 0.00014842552467394577, 'epoch': 0.59}

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{'loss': 1.6319, 'learning_rate': 0.00014833463830862828, 'epoch': 0.59}

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{'loss': 1.6955, 'learning_rate': 0.00014824376337410283, 'epoch': 0.59}

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{'loss': 1.6735, 'learning_rate': 0.00014815289989047518, 'epoch': 0.59}

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{'loss': 1.8226, 'learning_rate': 0.00014806204787784868, 'epoch': 0.59}

 59%|█████▉    | 4000/6779 [2:28:24<1:42:02,  2.20s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.5954, 'learning_rate': 0.00014797120735632398, 'epoch': 0.59}

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{'loss': 1.594, 'learning_rate': 0.0001478803783459993, 'epoch': 0.59}

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{'loss': 1.739, 'learning_rate': 0.00014778956086697017, 'epoch': 0.59}

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{'loss': 1.6224, 'learning_rate': 0.0001476987549393297, 'epoch': 0.59}

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{'loss': 1.7411, 'learning_rate': 0.00014760796058316839, 'epoch': 0.59}

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{'loss': 1.5782, 'learning_rate': 0.00014751717781857413, 'epoch': 0.59}

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{'loss': 1.9473, 'learning_rate': 0.00014742640666563246, 'epoch': 0.59}

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{'loss': 1.4968, 'learning_rate': 0.00014733564714442617, 'epoch': 0.59}

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{'loss': 1.601, 'learning_rate': 0.00014724489927503542, 'epoch': 0.59}

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{'loss': 1.7732, 'learning_rate': 0.00014715416307753797, 'epoch': 0.59}

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{'loss': 1.6121, 'learning_rate': 0.00014706343857200883, 'epoch': 0.59}

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{'loss': 1.6525, 'learning_rate': 0.00014697272577852055, 'epoch': 0.59}

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{'loss': 1.6828, 'learning_rate': 0.00014688202471714292, 'epoch': 0.59}

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{'loss': 1.5331, 'learning_rate': 0.0001467913354079434, 'epoch': 0.59}

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{'loss': 1.5904, 'learning_rate': 0.0001467006578709867, 'epoch': 0.59}

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{'loss': 1.7232, 'learning_rate': 0.00014660999212633485, 'epoch': 0.59}

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{'loss': 1.6127, 'learning_rate': 0.00014651933819404743, 'epoch': 0.59}

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{'loss': 1.8082, 'learning_rate': 0.00014642869609418123, 'epoch': 0.59}

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{'loss': 1.5863, 'learning_rate': 0.00014633806584679062, 'epoch': 0.59}

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{'loss': 1.8597, 'learning_rate': 0.00014624744747192704, 'epoch': 0.59}

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{'loss': 1.613, 'learning_rate': 0.00014615684098963979, 'epoch': 0.59}

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{'loss': 1.585, 'learning_rate': 0.0001460662464199751, 'epoch': 0.59}

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{'loss': 1.6306, 'learning_rate': 0.00014597566378297673, 'epoch': 0.59}

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{'loss': 1.6741, 'learning_rate': 0.00014588509309868583, 'epoch': 0.59}

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{'loss': 1.8019, 'learning_rate': 0.00014579453438714083, 'epoch': 0.59}

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{'loss': 1.631, 'learning_rate': 0.0001457039876683776, 'epoch': 0.59}

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{'loss': 1.6822, 'learning_rate': 0.0001456134529624292, 'epoch': 0.59}

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{'loss': 1.6158, 'learning_rate': 0.00014552293028932627, 'epoch': 0.59}

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{'loss': 1.7164, 'learning_rate': 0.00014543241966909657, 'epoch': 0.59}

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{'loss': 1.6281, 'learning_rate': 0.0001453419211217653, 'epoch': 0.59}

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{'loss': 1.6396, 'learning_rate': 0.00014525143466735497, 'epoch': 0.59}

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{'loss': 1.6129, 'learning_rate': 0.0001451609603258854, 'epoch': 0.59}

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{'loss': 1.6679, 'learning_rate': 0.00014507049811737378, 'epoch': 0.59}

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{'loss': 1.6472, 'learning_rate': 0.0001449800480618345, 'epoch': 0.6}

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{'loss': 1.7998, 'learning_rate': 0.00014488961017927943, 'epoch': 0.6}

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{'loss': 1.8147, 'learning_rate': 0.0001447991844897176, 'epoch': 0.6}

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{'loss': 1.8575, 'learning_rate': 0.00014470877101315538, 'epoch': 0.6}

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{'loss': 1.6102, 'learning_rate': 0.00014461836976959654, 'epoch': 0.6}

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{'loss': 1.625, 'learning_rate': 0.00014452798077904197, 'epoch': 0.6}

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{'loss': 1.7526, 'learning_rate': 0.00014443760406148996, 'epoch': 0.6}

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{'loss': 1.5441, 'learning_rate': 0.00014434723963693607, 'epoch': 0.6}

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{'loss': 1.477, 'learning_rate': 6.623914134341438e-05, 'epoch': 0.74}

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{'loss': 1.7329, 'learning_rate': 6.616921809966205e-05, 'epoch': 0.74}

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  warnings.warn(

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{'loss': 1.5571, 'learning_rate': 6.609932446553184e-05, 'epoch': 0.74}

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{'loss': 1.5954, 'learning_rate': 6.554124319315995e-05, 'epoch': 0.74}

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{'loss': 1.5891, 'learning_rate': 1.792645061599285e-05, 'epoch': 0.87}

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{'loss': 1.5658, 'learning_rate': 1.7848675735465558e-05, 'epoch': 0.87}

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{'loss': 1.6626, 'learning_rate': 1.7732315689007527e-05, 'epoch': 0.87}

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{'loss': 1.669, 'learning_rate': 1.7693609647678255e-05, 'epoch': 0.87}

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{'loss': 1.5751, 'learning_rate': 1.765494394104079e-05, 'epoch': 0.87}

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{'loss': 1.5889, 'learning_rate': 1.7616318577649736e-05, 'epoch': 0.87}

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{'loss': 1.6324, 'learning_rate': 1.7423797208179393e-05, 'epoch': 0.87}

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{'loss': 1.8022, 'learning_rate': 1.738541408341494e-05, 'epoch': 0.87}

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{'loss': 1.8128, 'learning_rate': 1.7347071361529487e-05, 'epoch': 0.87}

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{'loss': 1.3406, 'learning_rate': 1.730876905100629e-05, 'epoch': 0.87}

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{'loss': 1.5619, 'learning_rate': 1.7270507160319592e-05, 'epoch': 0.87}

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{'loss': 1.5683, 'learning_rate': 1.723228569793469e-05, 'epoch': 0.87}

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{'loss': 1.6756, 'learning_rate': 1.4516668989823512e-05, 'epoch': 0.88}

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{'loss': 1.6367, 'learning_rate': 1.4481503119439144e-05, 'epoch': 0.88}

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{'loss': 1.6459, 'learning_rate': 1.4446378294414642e-05, 'epoch': 0.88}

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{'loss': 1.5535, 'learning_rate': 1.4411294522521212e-05, 'epoch': 0.88}

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{'loss': 1.7848, 'learning_rate': 1.4376251811521024e-05, 'epoch': 0.88}

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{'loss': 1.6041, 'learning_rate': 1.4341250169167187e-05, 'epoch': 0.88}

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{'loss': 1.7646, 'learning_rate': 1.4306289603203682e-05, 'epoch': 0.88}

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{'loss': 1.6361, 'learning_rate': 1.4271370121365435e-05, 'epoch': 0.88}

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{'loss': 1.653, 'learning_rate': 1.4236491731378242e-05, 'epoch': 0.88}

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{'loss': 1.5797, 'learning_rate': 1.4201654440958867e-05, 'epoch': 0.88}

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{'loss': 1.6, 'learning_rate': 1.4166858257814896e-05, 'epoch': 0.88}

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{'loss': 1.6729, 'learning_rate': 1.4132103189644885e-05, 'epoch': 0.88}

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{'loss': 1.6283, 'learning_rate': 1.4097389244138348e-05, 'epoch': 0.88}

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{'loss': 1.6897, 'learning_rate': 1.4062716428975542e-05, 'epoch': 0.88}

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{'loss': 1.6414, 'learning_rate': 1.4028084751827775e-05, 'epoch': 0.88}

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{'loss': 1.682, 'learning_rate': 1.399349422035714e-05, 'epoch': 0.88}

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{'loss': 1.4992, 'learning_rate': 1.3958944842216758e-05, 'epoch': 0.88}

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{'loss': 1.8063, 'learning_rate': 1.3924436625050452e-05, 'epoch': 0.88}

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{'loss': 1.5491, 'learning_rate': 1.3889969576493134e-05, 'epoch': 0.88}

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{'loss': 1.7913, 'learning_rate': 1.3855543704170526e-05, 'epoch': 0.88}

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{'loss': 1.5953, 'learning_rate': 1.3821159015699182e-05, 'epoch': 0.88}

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{'loss': 1.6822, 'learning_rate': 1.3786815518686679e-05, 'epoch': 0.88}

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{'loss': 1.7129, 'learning_rate': 1.3752513220731322e-05, 'epoch': 0.88}

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{'loss': 1.5187, 'learning_rate': 1.3718252129422481e-05, 'epoch': 0.88}

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{'loss': 1.7299, 'learning_rate': 1.3684032252340184e-05, 'epoch': 0.88}

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{'loss': 1.5428, 'learning_rate': 1.3649853597055573e-05, 'epoch': 0.88}

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{'loss': 1.6522, 'learning_rate': 1.3615716171130533e-05, 'epoch': 0.88}

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{'loss': 1.7511, 'learning_rate': 1.3581619982117822e-05, 'epoch': 0.88}

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{'loss': 1.7496, 'learning_rate': 1.354756503756116e-05, 'epoch': 0.88}

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{'loss': 1.6538, 'learning_rate': 1.3513551344995057e-05, 'epoch': 0.88}

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{'loss': 1.5835, 'learning_rate': 1.3479578911944979e-05, 'epoch': 0.88}

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{'loss': 1.6213, 'learning_rate': 1.3445647745927136e-05, 'epoch': 0.88}

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{'loss': 1.6461, 'learning_rate': 1.3411757854448726e-05, 'epoch': 0.88}

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{'loss': 1.4926, 'learning_rate': 1.337790924500779e-05, 'epoch': 0.89}

 89%|████████▊ | 6000/6779 [3:42:45<29:18,  2.26s/it]/home/aiops/duanky/miniconda3/envs/lora/lib/python3.11/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(

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{'loss': 1.6328, 'learning_rate': 1.3344101925093255e-05, 'epoch': 0.89}

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{'loss': 1.4972, 'learning_rate': 1.3310335902184822e-05, 'epoch': 0.89}

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{'loss': 1.6236, 'learning_rate': 1.3276611183753118e-05, 'epoch': 0.89}

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{'loss': 1.5541, 'learning_rate': 1.3242927777259662e-05, 'epoch': 0.89}

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{'loss': 1.5283, 'learning_rate': 1.3209285690156736e-05, 'epoch': 0.89}

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{'loss': 1.7916, 'learning_rate': 1.3175684929887589e-05, 'epoch': 0.89}

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{'loss': 1.5063, 'learning_rate': 1.314212550388627e-05, 'epoch': 0.89}

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{'loss': 1.5822, 'learning_rate': 1.3108607419577734e-05, 'epoch': 0.89}

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{'loss': 1.588, 'learning_rate': 1.3075130684377646e-05, 'epoch': 0.89}

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{'loss': 1.5325, 'learning_rate': 1.3041695305692748e-05, 'epoch': 0.89}

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{'loss': 1.773, 'learning_rate': 1.3008301290920411e-05, 'epoch': 0.89}

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{'loss': 1.643, 'learning_rate': 1.297494864744897e-05, 'epoch': 0.89}

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{'loss': 1.6097, 'learning_rate': 1.2941637382657613e-05, 'epoch': 0.89}

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{'loss': 1.8713, 'learning_rate': 1.2908367503916329e-05, 'epoch': 0.89}

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{'loss': 1.5358, 'learning_rate': 1.2875139018585991e-05, 'epoch': 0.89}

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{'loss': 1.5877, 'learning_rate': 1.284195193401827e-05, 'epoch': 0.89}

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{'loss': 1.6115, 'learning_rate': 1.280880625755574e-05, 'epoch': 0.89}

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{'loss': 1.4446, 'learning_rate': 1.277570199653173e-05, 'epoch': 0.89}

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{'loss': 1.5922, 'learning_rate': 1.2742639158270431e-05, 'epoch': 0.89}

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{'loss': 1.6521, 'learning_rate': 1.2709617750086922e-05, 'epoch': 0.89}

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{'loss': 1.7812, 'learning_rate': 1.2676637779287092e-05, 'epoch': 0.89}

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{'loss': 1.3578, 'learning_rate': 1.2643699253167663e-05, 'epoch': 0.89}

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{'loss': 1.6594, 'learning_rate': 1.2610802179016112e-05, 'epoch': 0.89}

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{'loss': 1.4478, 'learning_rate': 1.2577946564110888e-05, 'epoch': 0.89}

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{'loss': 1.5944, 'learning_rate': 1.2545132415721106e-05, 'epoch': 0.89}

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{'loss': 1.6182, 'learning_rate': 1.2512359741106871e-05, 'epoch': 0.89}

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{'loss': 1.5774, 'learning_rate': 1.2479628547518941e-05, 'epoch': 0.89}

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{'loss': 1.7274, 'learning_rate': 1.2446938842199052e-05, 'epoch': 0.89}

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{'loss': 1.6514, 'learning_rate': 1.2414290632379711e-05, 'epoch': 0.89}

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{'loss': 1.7288, 'learning_rate': 1.2381683925284138e-05, 'epoch': 0.89}

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{'loss': 1.735, 'learning_rate': 1.2349118728126563e-05, 'epoch': 0.89}

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{'loss': 1.4912, 'learning_rate': 1.2316595048111845e-05, 'epoch': 0.89}

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{'loss': 1.6001, 'learning_rate': 1.2284112892435829e-05, 'epoch': 0.89}

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{'loss': 1.7378, 'learning_rate': 1.2251672268284986e-05, 'epoch': 0.89}

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{'loss': 1.5318, 'learning_rate': 1.2219273182836732e-05, 'epoch': 0.89}

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{'loss': 1.5473, 'learning_rate': 1.2186915643259312e-05, 'epoch': 0.89}

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{'loss': 1.6451, 'learning_rate': 1.2154599656711662e-05, 'epoch': 0.89}

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{'loss': 1.7371, 'learning_rate': 1.495609246671137e-08, 'epoch': 1.0}

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{'loss': 1.6655, 'learning_rate': 1.38277612148352e-08, 'epoch': 1.0}

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{'loss': 1.5733, 'learning_rate': 1.2743676248549995e-08, 'epoch': 1.0}

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{'loss': 1.7348, 'learning_rate': 1.1703837807730545e-08, 'epoch': 1.0}

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{'loss': 1.4912, 'learning_rate': 1.0708246122459464e-08, 'epoch': 1.0}

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{'loss': 1.6322, 'learning_rate': 9.7569014129828e-09, 'epoch': 1.0}

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{'loss': 1.6059, 'learning_rate': 8.849803889798835e-09, 'epoch': 1.0}

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{'loss': 1.6064, 'learning_rate': 7.986953753591486e-09, 'epoch': 1.0}

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{'loss': 1.7037, 'learning_rate': 7.168351195252498e-09, 'epoch': 1.0}

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{'loss': 1.6314, 'learning_rate': 6.3939963959036566e-09, 'epoch': 1.0}

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{'loss': 1.7732, 'learning_rate': 5.663889526874578e-09, 'epoch': 1.0}

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{'loss': 1.6985, 'learning_rate': 4.978030749702711e-09, 'epoch': 1.0}

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{'loss': 1.7096, 'learning_rate': 4.3364202161111364e-09, 'epoch': 1.0}

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{'loss': 1.5892, 'learning_rate': 3.739058068075174e-09, 'epoch': 1.0}

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{'loss': 1.6825, 'learning_rate': 3.185944437733568e-09, 'epoch': 1.0}

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{'loss': 1.6493, 'learning_rate': 2.6770794474995085e-09, 'epoch': 1.0}

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{'loss': 1.48, 'learning_rate': 2.2124632099274067e-09, 'epoch': 1.0}

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{'loss': 1.623, 'learning_rate': 1.7920958278239141e-09, 'epoch': 1.0}

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{'loss': 1.6811, 'learning_rate': 1.415977394203516e-09, 'epoch': 1.0}

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{'loss': 1.6737, 'learning_rate': 1.084107992244121e-09, 'epoch': 1.0}

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{'loss': 1.5417, 'learning_rate': 7.964876954202893e-10, 'epoch': 1.0}

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{'loss': 1.6738, 'learning_rate': 5.531165673255956e-10, 'epoch': 1.0}

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{'loss': 1.6419, 'learning_rate': 3.5399466182806095e-10, 'epoch': 1.0}

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{'loss': 1.7514, 'learning_rate': 1.991220229813351e-10, 'epoch': 1.0}

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{'train_runtime': 15107.5523, 'train_samples_per_second': 14.359, 'train_steps_per_second': 0.449, 'train_loss': 1.7056976145990375, 'epoch': 1.0}

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wandb: 
wandb: Run history:
wandb:                    train/epoch ▁▁▁▁▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▆▇▇▇▇████
wandb:              train/global_step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇▇███
wandb:            train/learning_rate ▅███████▇▇▇▇▇▆▆▆▆▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▁▁▁▁▁▁▁
wandb:                     train/loss ▇█▅▄▄▅▆█▆▄▅▅▆▄▅▅▅▆▄▇▅▅▄▅▃▆▃▄▄▆▇▃▃▄▁▃▃▃▃▃
wandb:               train/total_flos ▁
wandb:               train/train_loss ▁
wandb:            train/train_runtime ▁
wandb: train/train_samples_per_second ▁
wandb:   train/train_steps_per_second ▁
wandb: 
wandb: Run summary:
wandb:                    train/epoch 1.0
wandb:              train/global_step 6779
wandb:            train/learning_rate 0.0
wandb:                     train/loss 1.7514
wandb:               train/total_flos 1.5507444499386204e+18
wandb:               train/train_loss 1.7057
wandb:            train/train_runtime 15107.5523
wandb: train/train_samples_per_second 14.359
wandb:   train/train_steps_per_second 0.449
wandb: 
wandb: 🚀 View run belle_dolphine-p12 at: https://wandb.ai/nus_keyu/lora-moe/runs/39wnh4vr
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20231229_074425-39wnh4vr/logs