Training in progress epoch 4
Browse files- README.md +8 -7
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
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| 0.3642 | 0.3777 | 0.8666 | 0.8315 | 0.8465 | 0.8847 | 1 |
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| 0.2734 | 0.3804 | 0.8466 | 0.8563 | 0.8471 | 0.8872 | 2 |
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| 0.2020 | 0.3704 | 0.8526 | 0.8663 | 0.8551 | 0.8896 | 3 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1638
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- Validation Loss: 0.3625
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- Train Precision: 0.8491
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- Train Recall: 0.8642
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- Train F1: 0.8544
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- Train Accuracy: 0.8906
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- Epoch: 4
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## Model description
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| 0.3642 | 0.3777 | 0.8666 | 0.8315 | 0.8465 | 0.8847 | 1 |
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| 0.2734 | 0.3804 | 0.8466 | 0.8563 | 0.8471 | 0.8872 | 2 |
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| 0.2020 | 0.3704 | 0.8526 | 0.8663 | 0.8551 | 0.8896 | 3 |
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| 0.1638 | 0.3625 | 0.8491 | 0.8642 | 0.8544 | 0.8906 | 4 |
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### Framework versions
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tf_model.h5
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size 267970240
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version https://git-lfs.github.com/spec/v1
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size 267970240
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