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-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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@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
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| 0.3513 | 0.3180 | 0.3947 | 0.0718 | 0.1215 | 0.9260 | 0 |
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| 0.1624 | 0.2624 | 0.5321 | 0.3971 | 0.4548 | 0.9438 | 1 |
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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: 0.1203
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- Validation Loss: 0.2537
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- Train Precision: 0.5971
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- Train Recall: 0.4450
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- Train F1: 0.5099
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- Train Accuracy: 0.9475
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.3513 | 0.3180 | 0.3947 | 0.0718 | 0.1215 | 0.9260 | 0 |
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| 0.1624 | 0.2624 | 0.5321 | 0.3971 | 0.4548 | 0.9438 | 1 |
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| 0.1203 | 0.2537 | 0.5971 | 0.4450 | 0.5099 | 0.9475 | 2 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 265618704
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size 265618704
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