Model save
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README.md
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This model is a fine-tuned version of [yensubldg/model](https://huggingface.co/yensubldg/model) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 122 | 0.
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| No log | 2.0 | 244 | 0.
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| No log | 3.0 | 366 | 0.
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| No log | 4.0 | 488 | 0.
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| 0.0457 | 11.0 | 1342 | 0.1994 | 0.9688 |
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| 0.0457 | 12.0 | 1464 | 0.1982 | 0.9688 |
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| 0.0271 | 13.0 | 1586 | 0.1990 | 0.9688 |
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| 0.0271 | 14.0 | 1708 | 0.2003 | 0.9688 |
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| 0.0271 | 15.0 | 1830 | 0.1999 | 0.9688 |
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### Framework versions
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This model is a fine-tuned version of [yensubldg/model](https://huggingface.co/yensubldg/model) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2506
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- Accuracy: 0.9719
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 122 | 0.3559 | 0.9187 |
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| No log | 2.0 | 244 | 0.2895 | 0.9531 |
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| No log | 3.0 | 366 | 0.3975 | 0.9344 |
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| No log | 4.0 | 488 | 0.3121 | 0.9594 |
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| 0.0612 | 5.0 | 610 | 0.2580 | 0.9625 |
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| 0.0612 | 6.0 | 732 | 0.2519 | 0.9688 |
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| 0.0612 | 7.0 | 854 | 0.2506 | 0.9719 |
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| 0.0612 | 8.0 | 976 | 0.2535 | 0.9688 |
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| 0.0284 | 9.0 | 1098 | 0.2521 | 0.9688 |
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| 0.0284 | 10.0 | 1220 | 0.2512 | 0.9719 |
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### Framework versions
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model.safetensors
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