End of training
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- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Cer: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- mixed_precision_training: Native AMP
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### Training results
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| 0.1141 | 8.89 | 25000 | 0.2223 | 0.4460 |
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| 0.0481 | 10.66 | 30000 | 0.1868 | 0.4128 |
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| 0.0391 | 12.44 | 35000 | 0.1563 | 0.4172 |
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| 0.0357 | 14.22 | 40000 | 0.
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| 0.0215 | 16.0 | 45000 | 0.
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| 0.0129 | 17.77 | 50000 | 0.
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| 0.0087 | 19.55 | 55000 | 0.
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| 0.003 | 21.33 | 60000 | 0.
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| 0.0042 | 23.11 | 65000 | 0.
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| 0.0066 | 24.88 | 70000 | 0.
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| 0.0014 | 26.66 | 75000 | 0.
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| 0.0027 | 28.44 | 80000 | 0.5464 | 0.1661 |
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4335
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- Cer: 0.1445
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 75000
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- mixed_precision_training: Native AMP
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### Training results
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| 0.1141 | 8.89 | 25000 | 0.2223 | 0.4460 |
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| 0.0481 | 10.66 | 30000 | 0.1868 | 0.4128 |
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| 0.0391 | 12.44 | 35000 | 0.1563 | 0.4172 |
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| 0.0357 | 14.22 | 40000 | 0.1981 | 0.4756 |
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| 0.0215 | 16.0 | 45000 | 0.1983 | 0.5838 |
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| 0.0129 | 17.77 | 50000 | 0.1757 | 0.5511 |
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| 0.0087 | 19.55 | 55000 | 0.1699 | 0.5568 |
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| 0.003 | 21.33 | 60000 | 0.1648 | 0.4532 |
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| 0.0042 | 23.11 | 65000 | 0.1582 | 0.4650 |
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| 0.0066 | 24.88 | 70000 | 0.1654 | 0.4740 |
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| 0.0014 | 26.66 | 75000 | 0.1448 | 0.4337 |
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### Framework versions
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model.safetensors
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training_args.bin
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