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| _n_gpu: 1 | |
| adafactor: false | |
| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_epsilon: 1.0e-08 | |
| bf16: false | |
| bf16_full_eval: false | |
| dataloader_drop_last: false | |
| dataloader_num_workers: 0 | |
| dataloader_pin_memory: true | |
| ddp_bucket_cap_mb: null | |
| ddp_find_unused_parameters: null | |
| debug: '[]' | |
| deepspeed: null | |
| disable_tqdm: false | |
| do_eval: true | |
| do_predict: false | |
| do_train: false | |
| eval_accumulation_steps: null | |
| eval_steps: 400 | |
| evaluation_strategy: steps | |
| fp16: true | |
| fp16_backend: auto | |
| fp16_full_eval: false | |
| fp16_opt_level: O1 | |
| gradient_accumulation_steps: 2 | |
| gradient_checkpointing: true | |
| greater_is_better: null | |
| group_by_length: true | |
| half_precision_backend: amp | |
| hub_model_id: null | |
| hub_strategy: every_save | |
| hub_token: <HUB_TOKEN> | |
| ignore_data_skip: false | |
| label_names: null | |
| label_smoothing_factor: 0.0 | |
| learning_rate: 0.0001 | |
| length_column_name: length | |
| load_best_model_at_end: false | |
| local_rank: -1 | |
| log_level: -1 | |
| log_level_replica: -1 | |
| log_on_each_node: true | |
| logging_dir: Model/runs/Mar17_07-52-06_7da6d8561539 | |
| logging_first_step: false | |
| logging_nan_inf_filter: true | |
| logging_steps: 400 | |
| logging_strategy: steps | |
| lr_scheduler_type: linear | |
| max_grad_norm: 1.0 | |
| max_steps: -1 | |
| metric_for_best_model: null | |
| model_class: wav2vec2-xls-r-300m | |
| mp_parameters: '' | |
| no_cuda: false | |
| num_train_epochs: 200 | |
| optim: adamw_hf | |
| output_dir: Model | |
| overwrite_output_dir: false | |
| past_index: -1 | |
| per_device_eval_batch_size: 8 | |
| per_device_train_batch_size: 32 | |
| per_gpu_eval_batch_size: null | |
| per_gpu_train_batch_size: null | |
| prediction_loss_only: false | |
| push_to_hub: false | |
| push_to_hub_model_id: null | |
| push_to_hub_organization: null | |
| push_to_hub_token: <PUSH_TO_HUB_TOKEN> | |
| remove_unused_columns: true | |
| report_to: '[''mlflow'', ''tensorboard'']' | |
| resume_from_checkpoint: null | |
| run_name: Model | |
| save_on_each_node: false | |
| save_steps: 400 | |
| save_strategy: steps | |
| save_total_limit: 2 | |
| seed: 42 | |
| sharded_ddp: '[]' | |
| skip_memory_metrics: true | |
| tf32: null | |
| tpu_metrics_debug: false | |
| tpu_num_cores: null | |
| use_legacy_prediction_loop: false | |
| warmup_ratio: 0.0 | |
| warmup_steps: 1000 | |
| weight_decay: 0.0 | |
| xpu_backend: null | |