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__cached__setup_devices: !!python/object/apply:torch.device |
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- cuda |
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- 0 |
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_n_gpu: 1 |
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accelerator_config: !!python/object:transformers.trainer_pt_utils.AcceleratorConfig |
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dispatch_batches: null |
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even_batches: true |
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gradient_accumulation_kwargs: null |
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split_batches: false |
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use_seedable_sampler: true |
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adafactor: false |
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adam_beta1: 0.9 |
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adam_beta2: 0.999 |
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adam_epsilon: 1.0e-08 |
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auto_find_batch_size: false |
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bf16: false |
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bf16_full_eval: false |
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data_seed: null |
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dataloader_drop_last: false |
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dataloader_num_workers: 0 |
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dataloader_persistent_workers: false |
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dataloader_pin_memory: true |
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dataloader_prefetch_factor: null |
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ddp_backend: null |
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ddp_broadcast_buffers: null |
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ddp_bucket_cap_mb: null |
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ddp_find_unused_parameters: null |
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ddp_timeout: 1800 |
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debug: [] |
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deepspeed: null |
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deepspeed_plugin: null |
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disable_tqdm: false |
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dispatch_batches: null |
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distributed_state: !!python/object:accelerate.state.PartialState |
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_cpu: false |
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backend: null |
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debug: false |
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device: !!python/object/apply:torch.device |
|
- cuda |
|
distributed_type: !!python/object/apply:accelerate.utils.dataclasses.DistributedType |
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- 'NO' |
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fork_launched: false |
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local_process_index: 0 |
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num_processes: 1 |
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process_index: 0 |
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do_eval: true |
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do_predict: false |
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do_train: false |
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eval_accumulation_steps: null |
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eval_delay: 0 |
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eval_do_concat_batches: true |
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eval_steps: null |
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evaluation_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy |
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- epoch |
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fp16: true |
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fp16_backend: auto |
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fp16_full_eval: false |
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fp16_opt_level: O1 |
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fsdp: [] |
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fsdp_config: |
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min_num_params: 0 |
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xla: false |
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xla_fsdp_grad_ckpt: false |
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xla_fsdp_v2: false |
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fsdp_min_num_params: 0 |
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fsdp_transformer_layer_cls_to_wrap: null |
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full_determinism: false |
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generation_config: null |
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generation_max_length: null |
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generation_num_beams: null |
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gradient_accumulation_steps: 2 |
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gradient_checkpointing: false |
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gradient_checkpointing_kwargs: null |
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greater_is_better: false |
|
group_by_length: false |
|
half_precision_backend: auto |
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hub_always_push: false |
|
hub_model_id: donut_experiment_bayesian_trial_14 |
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hub_private_repo: false |
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hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy |
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- every_save |
|
hub_token: null |
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ignore_data_skip: false |
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include_inputs_for_metrics: false |
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include_num_input_tokens_seen: false |
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include_tokens_per_second: false |
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jit_mode_eval: false |
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label_names: null |
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label_smoothing_factor: 0.0 |
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learning_rate: 4.135841372163364e-05 |
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length_column_name: length |
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load_best_model_at_end: true |
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local_rank: 0 |
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log_level: passive |
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log_level_replica: warning |
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log_on_each_node: true |
|
logging_dir: model_runs/donut_experiment_bayesian_trial_14/runs/Jun26_16-37-19_ip-172-16-186-191.ec2.internal |
|
logging_first_step: false |
|
logging_nan_inf_filter: true |
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logging_steps: 100 |
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logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy |
|
- steps |
|
lr_scheduler_kwargs: {} |
|
lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType |
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- linear |
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max_grad_norm: 1.0 |
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max_steps: -1 |
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metric_for_best_model: loss |
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mp_parameters: '' |
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neftune_noise_alpha: null |
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no_cuda: false |
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num_train_epochs: 2 |
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optim: !!python/object/apply:transformers.training_args.OptimizerNames |
|
- adamw_torch |
|
optim_args: null |
|
optim_target_modules: null |
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output_dir: model_runs/donut_experiment_bayesian_trial_14 |
|
overwrite_output_dir: false |
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past_index: -1 |
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per_device_eval_batch_size: 1 |
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per_device_train_batch_size: 1 |
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per_gpu_eval_batch_size: null |
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per_gpu_train_batch_size: null |
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predict_with_generate: true |
|
prediction_loss_only: false |
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push_to_hub: true |
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push_to_hub_model_id: null |
|
push_to_hub_organization: null |
|
push_to_hub_token: null |
|
ray_scope: last |
|
remove_unused_columns: true |
|
report_to: |
|
- tensorboard |
|
resume_from_checkpoint: null |
|
run_name: model_runs/donut_experiment_bayesian_trial_14 |
|
save_on_each_node: false |
|
save_only_model: false |
|
save_safetensors: true |
|
save_steps: 500 |
|
save_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy |
|
- epoch |
|
save_total_limit: 2 |
|
seed: 42 |
|
skip_memory_metrics: true |
|
sortish_sampler: false |
|
split_batches: null |
|
tf32: null |
|
torch_compile: false |
|
torch_compile_backend: null |
|
torch_compile_mode: null |
|
torchdynamo: null |
|
tpu_metrics_debug: false |
|
tpu_num_cores: null |
|
use_cpu: false |
|
use_ipex: false |
|
use_legacy_prediction_loop: false |
|
use_mps_device: false |
|
warmup_ratio: 0.0 |
|
warmup_steps: 0 |
|
weight_decay: 0.07566285554183372 |
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|