wandb_version: 1

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    t:
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adam_beta2:
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adam_epsilon:
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config_name:
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dataset_config_name:
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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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dtype:
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eval_steps:
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evaluation_strategy:
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fp16:
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fp16_backend:
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fp16_full_eval:
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fp16_opt_level:
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gradient_accumulation_steps:
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greater_is_better:
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group_by_length:
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ignore_data_skip:
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label_names:
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label_smoothing_factor:
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learning_rate:
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length_column_name:
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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:
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logging_dir:
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logging_first_step:
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logging_steps:
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logging_strategy:
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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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model_name_or_path:
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model_type:
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mp_parameters:
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no_cuda:
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num_train_epochs:
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output_dir:
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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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prediction_loss_only:
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preprocessing_num_workers:
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push_to_hub:
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push_to_hub_model_id:
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push_to_hub_organization:
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push_to_hub_token:
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remove_unused_columns:
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report_to:
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resume_from_checkpoint:
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run_name:
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save_on_each_node:
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save_steps:
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save_strategy:
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seed:
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sharded_ddp:
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tokenizer_name:
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tpu_metrics_debug:
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tpu_num_cores:
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train_ref_file:
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use_fast_tokenizer:
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validation_ref_file:
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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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