Training in progress epoch 2
Browse files- README.md +5 -3
- 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: 1.
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- Validation Loss: 1.
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- Train Precision: 0.0
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- Train Recall: 0.0
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- Train F1: 0.0
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- Train Accuracy: 0.6667
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 1.4529 | 1.3140 | 0.0 | 0.0 | 0.0 | 0.6667 | 0 |
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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: 1.0782
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- Validation Loss: 1.1975
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- Train Precision: 0.0
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- Train Recall: 0.0
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- Train F1: 0.0
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- Train Accuracy: 0.6667
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- Epoch: 2
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 1.4529 | 1.3140 | 0.0 | 0.0 | 0.0 | 0.6667 | 0 |
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| 1.2136 | 1.2307 | 0.0 | 0.0 | 0.0 | 0.6667 | 1 |
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| 1.0782 | 1.1975 | 0.0 | 0.0 | 0.0 | 0.6667 | 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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oid sha256:
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size 265594128
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version https://git-lfs.github.com/spec/v1
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size 265594128
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