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ddp_find_unused_parameters:
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generation_config:
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greater_is_better:
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half_precision_backend:
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hub_always_push:
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hub_model_id:
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hub_private_repo:
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hub_strategy:
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hub_token:
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id2label:
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ignore_data_skip:
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include_for_metrics:
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include_inputs_for_metrics:
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include_num_input_tokens_seen:
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init_std:
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is_decoder:
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is_encoder_decoder:
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label_names:
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label_smoothing_factor:
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label2id:
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learning_rate:
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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_nan_inf_filter:
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logging_steps:
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logging_strategy:
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lr_scheduler_type:
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mask_feature_prob:
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max_length:
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model_type:
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mp_parameters:
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neftune_noise_alpha:
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no_cuda:
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no_repeat_ngram_size:
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num_mel_bins:
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optim:
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optim_args:
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optim_target_modules:
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output_attentions:
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output_dir:
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output_hidden_states:
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output_scores:
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overwrite_output_dir:
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pad_token_id:
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past_index:
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per_device_eval_batch_size:
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per_gpu_train_batch_size:
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prediction_loss_only:
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prefix:
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problem_type:
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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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ray_scope:
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remove_unused_columns:
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repetition_penalty:
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report_to:
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restore_callback_states_from_checkpoint:
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resume_from_checkpoint:
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return_dict:
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run_name:
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save_on_each_node:
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save_only_model:
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save_steps:
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save_strategy:
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scale_embedding:
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seed:
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skip_memory_metrics:
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sortish_sampler:
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task_specific_params:
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temperature:
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tf_legacy_loss:
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tf32:
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tie_encoder_decoder:
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tie_word_embeddings:
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tokenizer_class:
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top_k:
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top_p:
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torch_compile:
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torch_compile_backend:
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torch_compile_mode:
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torch_dtype:
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torch_empty_cache_steps:
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torchdynamo:
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torchscript:
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tpu_metrics_debug:
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tpu_num_cores:
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transformers_version:
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typical_p:
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use_bfloat16:
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use_cache:
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use_cpu:
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use_ipex:
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use_legacy_prediction_loop:
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use_liger_kernel:
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use_weighted_layer_sum:
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vocab_size:
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warmup_ratio:
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warmup_steps:
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weight_decay:
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