wandb_version: 1 | |
_wandb: | |
desc: null | |
value: | |
cli_version: 0.10.33 | |
framework: huggingface | |
huggingface_version: 4.9.0.dev0 | |
is_jupyter_run: false | |
is_kaggle_kernel: false | |
python_version: 3.8.10 | |
t: | |
1: | |
- 3 | |
- 11 | |
2: | |
- 3 | |
- 11 | |
4: 3.8.10 | |
5: 0.10.33 | |
6: 4.9.0.dev0 | |
8: | |
- 5 | |
adafactor: | |
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value: true | |
adam_beta1: | |
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adam_beta2: | |
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value: 0.98 | |
adam_epsilon: | |
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value: 1.0e-08 | |
cache_dir: | |
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value: null | |
config_name: | |
desc: null | |
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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dataset_name: | |
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ddp_find_unused_parameters: | |
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debug: | |
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deepspeed: | |
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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: | |
desc: null | |
value: float32 | |
eval_accumulation_steps: | |
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value: null | |
eval_steps: | |
desc: null | |
value: 100001 | |
evaluation_strategy: | |
desc: null | |
value: IntervalStrategy.NO | |
fp16: | |
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fp16_backend: | |
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value: auto | |
fp16_full_eval: | |
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value: false | |
fp16_opt_level: | |
desc: null | |
value: O1 | |
gradient_accumulation_steps: | |
desc: null | |
value: 8 | |
greater_is_better: | |
desc: null | |
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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value: 0.0 | |
learning_rate: | |
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value: 5.0e-05 | |
length_column_name: | |
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value: length | |
line_by_line: | |
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value: false | |
load_best_model_at_end: | |
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value: false | |
local_rank: | |
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log_level: | |
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log_level_replica: | |
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value: -1 | |
log_on_each_node: | |
desc: null | |
value: true | |
logging_dir: | |
desc: null | |
value: ./runs/Jul13_12-51-41_t1v-n-f5c06ea1-w-0 | |
logging_first_step: | |
desc: null | |
value: false | |
logging_steps: | |
desc: null | |
value: 500 | |
logging_strategy: | |
desc: null | |
value: IntervalStrategy.STEPS | |
lr_scheduler_type: | |
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value: SchedulerType.LINEAR | |
max_grad_norm: | |
desc: null | |
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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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mlm_probability: | |
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value: 0.15 | |
model_name_or_path: | |
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value: null | |
model_type: | |
desc: null | |
value: big_bird | |
mp_parameters: | |
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value: '' | |
no_cuda: | |
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value: false | |
num_train_epochs: | |
desc: null | |
value: 5.0 | |
output_dir: | |
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value: ./ | |
overwrite_cache: | |
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overwrite_output_dir: | |
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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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value: null | |
prediction_loss_only: | |
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preprocessing_num_workers: | |
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value: 64 | |
push_to_hub: | |
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value: true | |
push_to_hub_model_id: | |
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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: | |
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value: null | |
run_name: | |
desc: null | |
value: ./ | |
save_on_each_node: | |
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save_steps: | |
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value: 20000 | |
save_strategy: | |
desc: null | |
value: IntervalStrategy.STEPS | |
save_total_limit: | |
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seed: | |
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value: 42 | |
sharded_ddp: | |
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value: [] | |
skip_memory_metrics: | |
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value: true | |
tokenizer_name: | |
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tpu_metrics_debug: | |
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tpu_num_cores: | |
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value: null | |
train_file: | |
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train_ref_file: | |
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use_fast_tokenizer: | |
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use_legacy_prediction_loop: | |
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validation_file: | |
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value: null | |
validation_ref_file: | |
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value: null | |
validation_split_percentage: | |
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value: 5 | |
warmup_ratio: | |
desc: null | |
value: 0.0 | |
warmup_steps: | |
desc: null | |
value: 10 | |
weight_decay: | |
desc: null | |
value: 0.0095 | |