Training in progress epoch 2
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/distilbert-base-uncased](https://huggingface.co/distilbert/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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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.6710 | 0.5020 | 0.6557 | 0.7166 | 0.6848 | 0.8034 | 0 |
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| 0.4543 | 0.4196 | 0.7037 | 0.7671 | 0.7340 | 0.8351 | 1 |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.3672
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- Validation Loss: 0.3875
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- Train Precision: 0.7295
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- Train Recall: 0.7779
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- Train F1: 0.7529
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- Train Accuracy: 0.8493
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.6710 | 0.5020 | 0.6557 | 0.7166 | 0.6848 | 0.8034 | 0 |
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| 0.4543 | 0.4196 | 0.7037 | 0.7671 | 0.7340 | 0.8351 | 1 |
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| 0.3672 | 0.3875 | 0.7295 | 0.7779 | 0.7529 | 0.8493 | 2 |
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### Framework versions
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tf_model.h5
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