wandb/run-20231118_115422-vkuemujk/files/config.yaml

wandb_version: 1

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forced_bos_token_id:
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forced_eos_token_id:
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remove_invalid_values:
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exponential_decay_length_penalty:
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architectures:
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finetuning_task:
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id2label:
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label2id:
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tokenizer_class:
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prefix:
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bos_token_id:
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problem_type:
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output_dir:
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do_train:
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do_eval:
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do_predict:
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evaluation_strategy:
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per_device_train_batch_size:
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per_gpu_train_batch_size:
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per_gpu_eval_batch_size:
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gradient_accumulation_steps:
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eval_accumulation_steps:
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eval_delay:
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learning_rate:
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weight_decay:
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adam_epsilon:
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num_train_epochs:
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max_steps:
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lr_scheduler_type:
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warmup_ratio:
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warmup_steps:
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log_level:
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log_level_replica:
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logging_dir:
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logging_strategy:
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logging_first_step:
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logging_steps:
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logging_nan_inf_filter:
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save_strategy:
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save_total_limit:
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save_safetensors:
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save_on_each_node:
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no_cuda:
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seed:
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data_seed:
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jit_mode_eval:
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bf16:
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fp16:
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half_precision_backend:
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bf16_full_eval:
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fp16_full_eval:
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tf32:
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debug:
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past_index:
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run_name:
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disable_tqdm:
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label_names:
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load_best_model_at_end:
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metric_for_best_model:
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greater_is_better:
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ignore_data_skip:
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fsdp:
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fsdp_config:
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fsdp_transformer_layer_cls_to_wrap:
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deepspeed:
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label_smoothing_factor:
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optim:
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optim_args:
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adafactor:
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report_to:
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skip_memory_metrics:
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use_legacy_prediction_loop:
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push_to_hub:
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gradient_checkpointing:
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gradient_checkpointing_kwargs:
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include_inputs_for_metrics:
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fp16_backend:
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mp_parameters:
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include_tokens_per_second:
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neftune_noise_alpha:
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generation_config:
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