Training in progress, epoch 2
Browse files- donut_experiment_bayesian_trial_0/.ipynb_checkpoints/hyperparameters-checkpoint.yaml +160 -0
- donut_experiment_bayesian_trial_0/.ipynb_checkpoints/metrics-checkpoint.jsonl +1 -0
- donut_experiment_bayesian_trial_0/metrics.jsonl +1 -0
- model.safetensors +1 -1
- runs/May20_16-34-26_ip-172-16-167-107.ec2.internal/events.out.tfevents.1716222867.ip-172-16-167-107.ec2.internal.15611.3 +2 -2
donut_experiment_bayesian_trial_0/.ipynb_checkpoints/hyperparameters-checkpoint.yaml
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| 1 |
+
__cached__setup_devices: !!python/object/apply:torch.device
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| 2 |
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- cuda
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| 3 |
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- 0
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| 4 |
+
_n_gpu: 1
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| 5 |
+
accelerator_config: !!python/object:transformers.trainer_pt_utils.AcceleratorConfig
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| 6 |
+
dispatch_batches: null
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| 7 |
+
even_batches: true
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| 8 |
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gradient_accumulation_kwargs: null
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| 9 |
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split_batches: false
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| 10 |
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use_seedable_sampler: true
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| 11 |
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adafactor: false
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| 12 |
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adam_beta1: 0.9
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| 13 |
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adam_beta2: 0.999
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| 14 |
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adam_epsilon: 1.0e-08
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| 15 |
+
auto_find_batch_size: false
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| 16 |
+
bf16: false
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| 17 |
+
bf16_full_eval: false
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| 18 |
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data_seed: null
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| 19 |
+
dataloader_drop_last: false
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| 20 |
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dataloader_num_workers: 0
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| 21 |
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dataloader_persistent_workers: false
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| 22 |
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dataloader_pin_memory: true
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| 23 |
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dataloader_prefetch_factor: null
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| 24 |
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ddp_backend: null
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| 25 |
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ddp_broadcast_buffers: null
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| 26 |
+
ddp_bucket_cap_mb: null
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| 27 |
+
ddp_find_unused_parameters: null
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| 28 |
+
ddp_timeout: 1800
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| 29 |
+
debug: []
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| 30 |
+
deepspeed: null
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| 31 |
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deepspeed_plugin: null
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| 32 |
+
disable_tqdm: false
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| 33 |
+
dispatch_batches: null
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| 34 |
+
distributed_state: !!python/object:accelerate.state.PartialState
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| 35 |
+
_cpu: false
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| 36 |
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backend: null
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| 37 |
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debug: false
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| 38 |
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device: !!python/object/apply:torch.device
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| 39 |
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- cuda
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| 40 |
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distributed_type: !!python/object/apply:accelerate.utils.dataclasses.DistributedType
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| 41 |
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- 'NO'
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| 42 |
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fork_launched: false
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| 43 |
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local_process_index: 0
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| 44 |
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num_processes: 1
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| 45 |
+
process_index: 0
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| 46 |
+
do_eval: true
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| 47 |
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do_predict: false
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| 48 |
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do_train: false
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| 49 |
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eval_accumulation_steps: null
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| 50 |
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eval_delay: 0
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| 51 |
+
eval_do_concat_batches: true
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| 52 |
+
eval_steps: null
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| 53 |
+
evaluation_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
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| 54 |
+
- epoch
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| 55 |
+
fp16: true
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| 56 |
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fp16_backend: auto
|
| 57 |
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fp16_full_eval: false
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| 58 |
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fp16_opt_level: O1
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| 59 |
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fsdp: []
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| 60 |
+
fsdp_config:
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| 61 |
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min_num_params: 0
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| 62 |
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xla: false
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| 63 |
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xla_fsdp_grad_ckpt: false
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| 64 |
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xla_fsdp_v2: false
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| 65 |
+
fsdp_min_num_params: 0
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| 66 |
+
fsdp_transformer_layer_cls_to_wrap: null
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| 67 |
+
full_determinism: false
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| 68 |
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generation_config: null
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| 69 |
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generation_max_length: null
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| 70 |
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generation_num_beams: null
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| 71 |
+
gradient_accumulation_steps: 2
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| 72 |
+
gradient_checkpointing: false
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| 73 |
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gradient_checkpointing_kwargs: null
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| 74 |
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greater_is_better: false
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| 75 |
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group_by_length: false
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| 76 |
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half_precision_backend: auto
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| 77 |
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hub_always_push: false
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| 78 |
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hub_model_id: donut_experiment_bayesian_1
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| 79 |
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hub_private_repo: false
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| 80 |
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hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy
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| 81 |
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- every_save
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| 82 |
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hub_token: null
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| 83 |
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ignore_data_skip: false
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| 84 |
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include_inputs_for_metrics: false
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| 85 |
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include_num_input_tokens_seen: false
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| 86 |
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include_tokens_per_second: false
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| 87 |
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jit_mode_eval: false
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| 88 |
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label_names: null
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| 89 |
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label_smoothing_factor: 0.0
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| 90 |
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learning_rate: 3.476033118766737e-05
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| 91 |
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length_column_name: length
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| 92 |
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load_best_model_at_end: true
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| 93 |
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local_rank: 0
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| 94 |
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log_level: passive
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| 95 |
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log_level_replica: warning
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| 96 |
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log_on_each_node: true
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| 97 |
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logging_dir: model_runs/donut_experiment_bayesian_1/runs/May20_16-34-26_ip-172-16-167-107.ec2.internal
|
| 98 |
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logging_first_step: false
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| 99 |
+
logging_nan_inf_filter: true
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| 100 |
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logging_steps: 100
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| 101 |
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logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
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| 102 |
+
- steps
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| 103 |
+
lr_scheduler_kwargs: {}
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| 104 |
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lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
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| 105 |
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- linear
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| 106 |
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max_grad_norm: 1.0
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| 107 |
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max_steps: -1
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| 108 |
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metric_for_best_model: loss
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| 109 |
+
mp_parameters: ''
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| 110 |
+
neftune_noise_alpha: null
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| 111 |
+
no_cuda: false
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| 112 |
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num_train_epochs: 2
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| 113 |
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optim: !!python/object/apply:transformers.training_args.OptimizerNames
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| 114 |
+
- adamw_torch
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| 115 |
+
optim_args: null
|
| 116 |
+
optim_target_modules: null
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| 117 |
+
output_dir: model_runs/donut_experiment_bayesian_1
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| 118 |
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overwrite_output_dir: false
|
| 119 |
+
past_index: -1
|
| 120 |
+
per_device_eval_batch_size: 1
|
| 121 |
+
per_device_train_batch_size: 1
|
| 122 |
+
per_gpu_eval_batch_size: null
|
| 123 |
+
per_gpu_train_batch_size: null
|
| 124 |
+
predict_with_generate: true
|
| 125 |
+
prediction_loss_only: false
|
| 126 |
+
push_to_hub: true
|
| 127 |
+
push_to_hub_model_id: null
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| 128 |
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push_to_hub_organization: null
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| 129 |
+
push_to_hub_token: null
|
| 130 |
+
ray_scope: last
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| 131 |
+
remove_unused_columns: true
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| 132 |
+
report_to:
|
| 133 |
+
- tensorboard
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| 134 |
+
resume_from_checkpoint: null
|
| 135 |
+
run_name: model_runs/donut_experiment_bayesian_1
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| 136 |
+
save_on_each_node: false
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| 137 |
+
save_only_model: false
|
| 138 |
+
save_safetensors: true
|
| 139 |
+
save_steps: 500
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| 140 |
+
save_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
|
| 141 |
+
- epoch
|
| 142 |
+
save_total_limit: 2
|
| 143 |
+
seed: 42
|
| 144 |
+
skip_memory_metrics: true
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| 145 |
+
sortish_sampler: false
|
| 146 |
+
split_batches: null
|
| 147 |
+
tf32: null
|
| 148 |
+
torch_compile: false
|
| 149 |
+
torch_compile_backend: null
|
| 150 |
+
torch_compile_mode: null
|
| 151 |
+
torchdynamo: null
|
| 152 |
+
tpu_metrics_debug: false
|
| 153 |
+
tpu_num_cores: null
|
| 154 |
+
use_cpu: false
|
| 155 |
+
use_ipex: false
|
| 156 |
+
use_legacy_prediction_loop: false
|
| 157 |
+
use_mps_device: false
|
| 158 |
+
warmup_ratio: 0.0
|
| 159 |
+
warmup_steps: 0
|
| 160 |
+
weight_decay: 0.001930584169502962
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donut_experiment_bayesian_trial_0/.ipynb_checkpoints/metrics-checkpoint.jsonl
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| 1 |
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{"eval_loss": 0.43816685676574707, "eval_bleu": 0.06408670006728434, "eval_precisions": [0.8294243070362474, 0.7742718446601942, 0.7352112676056338, 0.7013422818791947], "eval_brevity_penalty": 0.0844821210838816, "eval_length_ratio": 0.2880835380835381, "eval_translation_length": 469, "eval_reference_length": 1628, "eval_cer": 0.7588007367632248, "eval_wer": 0.8260088637359255, "eval_runtime": 72.3994, "eval_samples_per_second": 0.787, "eval_steps_per_second": 0.787, "epoch": 1.0}
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donut_experiment_bayesian_trial_0/metrics.jsonl
CHANGED
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@@ -1 +1,2 @@
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| 1 |
{"eval_loss": 0.43816685676574707, "eval_bleu": 0.06408670006728434, "eval_precisions": [0.8294243070362474, 0.7742718446601942, 0.7352112676056338, 0.7013422818791947], "eval_brevity_penalty": 0.0844821210838816, "eval_length_ratio": 0.2880835380835381, "eval_translation_length": 469, "eval_reference_length": 1628, "eval_cer": 0.7588007367632248, "eval_wer": 0.8260088637359255, "eval_runtime": 72.3994, "eval_samples_per_second": 0.787, "eval_steps_per_second": 0.787, "epoch": 1.0}
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| 1 |
{"eval_loss": 0.43816685676574707, "eval_bleu": 0.06408670006728434, "eval_precisions": [0.8294243070362474, 0.7742718446601942, 0.7352112676056338, 0.7013422818791947], "eval_brevity_penalty": 0.0844821210838816, "eval_length_ratio": 0.2880835380835381, "eval_translation_length": 469, "eval_reference_length": 1628, "eval_cer": 0.7588007367632248, "eval_wer": 0.8260088637359255, "eval_runtime": 72.3994, "eval_samples_per_second": 0.787, "eval_steps_per_second": 0.787, "epoch": 1.0}
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| 2 |
+
{"eval_loss": 0.4537677764892578, "eval_bleu": 0.06656125232590335, "eval_precisions": [0.8336842105263158, 0.7751196172248804, 0.7313019390581718, 0.6842105263157895], "eval_brevity_penalty": 0.08826881356184386, "eval_length_ratio": 0.2917690417690418, "eval_translation_length": 475, "eval_reference_length": 1628, "eval_cer": 0.7502191876462136, "eval_wer": 0.8199087588657978, "eval_runtime": 71.9659, "eval_samples_per_second": 0.792, "eval_steps_per_second": 0.792, "epoch": 2.0}
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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size 809103512
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runs/May20_16-34-26_ip-172-16-167-107.ec2.internal/events.out.tfevents.1716222867.ip-172-16-167-107.ec2.internal.15611.3
CHANGED
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size 11911
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