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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: base_sami_22k_cont_pt_ftpseudo_wr15 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# base_sami_22k_cont_pt_ftpseudo_wr15 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 279.1175 |
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- Wer: 0.5077 |
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- Cer: 0.1722 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.15 |
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- num_epochs: 60.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
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| 2898.1974 | 1.0 | 3628 | 315.9604 | 0.6330 | 0.1893 | |
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| 757.7022 | 2.0 | 7256 | 279.5220 | 0.5065 | 0.1721 | |
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| 662.3705 | 3.0 | 10884 | 301.2926 | 0.5251 | 0.1764 | |
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| 647.4321 | 4.0 | 14512 | 309.8589 | 0.5494 | 0.2027 | |
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| 659.7851 | 5.0 | 18140 | 309.3199 | 0.5862 | 0.2070 | |
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| 692.9787 | 6.0 | 21768 | 373.3183 | 0.6487 | 0.2412 | |
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| 739.3389 | 7.0 | 25396 | 379.1962 | 0.6765 | 0.2556 | |
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| 786.0181 | 8.0 | 29024 | 414.1455 | 0.7022 | 0.2729 | |
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| 827.0145 | 9.0 | 32652 | 441.2162 | 0.7871 | 0.3400 | |
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| 849.8929 | 10.0 | 36280 | 422.3855 | 0.7259 | 0.2963 | |
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| 830.547 | 11.0 | 39908 | 426.6281 | 0.7506 | 0.3046 | |
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| 803.7191 | 12.0 | 43536 | 418.4753 | 0.7314 | 0.2984 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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