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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| 0.3520 | 0.3146 | 0.4870 | 0.1567 | 0.2371 | 0.9304 | 0 |
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| 0.1717 | 0.2844 | 0.5421 | 0.3158 | 0.3991 | 0.9399 | 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: 0.1309
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- Validation Loss: 0.2642
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- Train Precision: 0.5838
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- Train Recall: 0.3792
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- Train F1: 0.4598
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- Train Accuracy: 0.9440
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.3520 | 0.3146 | 0.4870 | 0.1567 | 0.2371 | 0.9304 | 0 |
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| 0.1717 | 0.2844 | 0.5421 | 0.3158 | 0.3991 | 0.9399 | 1 |
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| 0.1309 | 0.2642 | 0.5838 | 0.3792 | 0.4598 | 0.9440 | 2 |
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### Framework versions
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tf_model.h5
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size 265618704
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version https://git-lfs.github.com/spec/v1
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size 265618704
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