wandb_version: 1

_wandb:
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  value:
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    framework: huggingface
    huggingface_version: 4.9.0.dev0
    is_jupyter_run: false
    is_kaggle_kernel: false
    python_version: 3.8.10
    t:
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      2:
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      5: 0.10.33
      6: 4.9.0.dev0
      8:
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adafactor:
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adam_beta1:
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adam_beta2:
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adam_epsilon:
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cache_dir:
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config_name:
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  value: ./
dataloader_drop_last:
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dataloader_num_workers:
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dataloader_pin_memory:
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dataset_config_name:
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  value: null
dataset_name:
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  value: null
ddp_find_unused_parameters:
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debug:
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  value: []
deepspeed:
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  value: null
disable_tqdm:
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do_eval:
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do_predict:
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do_train:
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dtype:
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  value: float32
eval_accumulation_steps:
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  value: null
eval_steps:
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evaluation_strategy:
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  value: IntervalStrategy.NO
fp16:
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  value: false
fp16_backend:
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  value: auto
fp16_full_eval:
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fp16_opt_level:
  desc: null
  value: O1
gradient_accumulation_steps:
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greater_is_better:
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  value: null
group_by_length:
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ignore_data_skip:
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label_names:
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  value: null
label_smoothing_factor:
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learning_rate:
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  value: 3.0e-05
length_column_name:
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  value: length
line_by_line:
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load_best_model_at_end:
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local_rank:
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log_level:
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log_level_replica:
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log_on_each_node:
  desc: null
  value: true
logging_dir:
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  value: ./runs/Jul15_17-41-39_t1v-n-f5c06ea1-w-0
logging_first_step:
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logging_steps:
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logging_strategy:
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  value: IntervalStrategy.STEPS
lr_scheduler_type:
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max_eval_samples:
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max_grad_norm:
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max_seq_length:
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max_steps:
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metric_for_best_model:
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  value: null
mlm_probability:
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model_name_or_path:
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  value: null
model_type:
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mp_parameters:
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  value: ''
no_cuda:
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num_train_epochs:
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  value: 2.0
output_dir:
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  value: ./
overwrite_cache:
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overwrite_output_dir:
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  value: true
pad_to_max_length:
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past_index:
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per_device_eval_batch_size:
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per_device_train_batch_size:
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per_gpu_eval_batch_size:
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per_gpu_train_batch_size:
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prediction_loss_only:
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preprocessing_num_workers:
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  value: 96
push_to_hub:
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  value: true
push_to_hub_model_id:
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  value: ''
push_to_hub_organization:
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  value: null
push_to_hub_token:
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  value: null
remove_unused_columns:
  desc: null
  value: true
report_to:
  desc: null
  value:
  - tensorboard
  - wandb
resume_from_checkpoint:
  desc: null
  value: ./
run_name:
  desc: null
  value: ./
save_on_each_node:
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save_steps:
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save_strategy:
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  value: IntervalStrategy.STEPS
save_total_limit:
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seed:
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sharded_ddp:
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  value: []
skip_memory_metrics:
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tokenizer_name:
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  value: ./
tpu_metrics_debug:
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tpu_num_cores:
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  value: null
train_ref_file:
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use_fast_tokenizer:
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use_legacy_prediction_loop:
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validation_ref_file:
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  value: null
validation_split_percentage:
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warmup_ratio:
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warmup_steps:
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weight_decay:
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