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--- |
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library_name: transformers |
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tags: [] |
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--- |
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``` |
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wandb: - 0.003 MB of 0.003 MB uploaded |
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wandb: \ 0.003 MB of 0.003 MB uploaded |
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wandb: |
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wandb: |
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wandb: Run history: |
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wandb: eval/loss █▅▅▄▃▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ |
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wandb: eval/runtime ▆▃▃▁▂▅█▅▄▄▄▄▄▄▅▄▆▄▂▅▃▄▆▆▂▆▅ |
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wandb: eval/samples_per_second ▃▆▆█▇▄▁▄▅▅▅▅▅▅▄▅▃▅▇▄▆▅▃▃▇▃▄ |
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wandb: eval/steps_per_second ▃▆▆█▇▄▁▄▄▄▅▅▄▅▄▅▃▆▇▃▆▅▃▃▇▃▄ |
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wandb: train/epoch ▁▁▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▅▅▅▅▅▅▅▆▆▆▆▆▇▇▇▇▇███ |
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wandb: train/global_step ▁▁▁▂▂▂▂▂▂▃▃▃▃▃▃▄▄▄▄▄▄▄▅▅▅▅▅▅▆▆▆▆▇▇▇▇▇███ |
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wandb: train/grad_norm ▇▂▂▂▁▃█▃▂▁▃▂▃▂▁▂▃▃▄▃▂▃▃▃▄▂▃▃▄▃▂▃▃▃▃▄▄▅▄▃ |
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wandb: train/learning_rate ███▇▇▇▇▇▇▆▆▆▆▆▅▅▅▅▅▅▄▄▄▄▄▄▃▃▃▃▃▂▂▂▂▂▂▁▁▁ |
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wandb: train/loss █▃▃▃▁▄▂▂▃▁▃▂▂▂▁▃▂▂▁▃▂▂▂▁▃▂▂▂▁▃▂▂▂▃▁▂▂▁▃▁ |
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wandb: |
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wandb: Run summary: |
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wandb: eval/loss 0.92221 |
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wandb: eval/runtime 93.6611 |
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wandb: eval/samples_per_second 3.587 |
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wandb: eval/steps_per_second 1.196 |
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wandb: total_flos 2.952274602780672e+16 |
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wandb: train/epoch 2.46201 |
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wandb: train/global_step 810 |
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wandb: train/grad_norm 0.81067 |
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wandb: train/learning_rate 3e-05 |
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wandb: train/loss 0.7747 |
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wandb: train_loss 1.05936 |
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wandb: train_runtime 8326.639 |
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wandb: train_samples_per_second 1.58 |
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wandb: train_steps_per_second 0.198 |
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|
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training_arguments = SFTConfig( |
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output_dir=new_model, |
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run_name="fine_tune_ocr_correction", |
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per_device_train_batch_size=2, |
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per_device_eval_batch_size=3, |
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gradient_accumulation_steps=4, |
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optim="paged_adamw_32bit", |
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num_train_epochs=5, |
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eval_strategy="steps", |
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eval_steps=30, # normally 10 steps, but our dataset is small |
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save_steps=30, |
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logging_steps=20, # Log progress every 20 steps |
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warmup_steps=10, |
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logging_strategy="steps", |
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learning_rate=5e-5, |
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fp16=use_fp16, |
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bf16=use_bf16, |
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group_by_length=True, |
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report_to="wandb", |
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max_seq_length=1220, |
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save_strategy="steps", |
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dataset_text_field="text", |
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load_best_model_at_end = True |
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) |
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|
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Dataset complet |
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``` |
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# Model Card for Model ID |
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