yensubldg commited on
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README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1942
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- - Accuracy: 0.9688
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  ## Model description
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@@ -36,33 +36,28 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-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: 15
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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 | 0.2958 | 0.9406 |
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- | No log | 2.0 | 244 | 0.2619 | 0.95 |
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- | No log | 3.0 | 366 | 0.2153 | 0.9625 |
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- | No log | 4.0 | 488 | 0.2221 | 0.9625 |
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- | 0.1038 | 5.0 | 610 | 0.2106 | 0.9625 |
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- | 0.1038 | 6.0 | 732 | 0.2074 | 0.9656 |
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- | 0.1038 | 7.0 | 854 | 0.1965 | 0.9656 |
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- | 0.1038 | 8.0 | 976 | 0.1942 | 0.9688 |
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- | 0.0457 | 9.0 | 1098 | 0.1945 | 0.9688 |
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- | 0.0457 | 10.0 | 1220 | 0.2008 | 0.9688 |
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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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