Training in progress epoch 1
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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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.3364 | 0.3071 | 0.3297 | 0.1447 | 0.2012 | 0.9299 | 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: 0.1552
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- Validation Loss: 0.2652
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- Train Precision: 0.5425
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- Train Recall: 0.3971
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- Train F1: 0.4586
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- Train Accuracy: 0.9433
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- Epoch: 1
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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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| 0.3364 | 0.3071 | 0.3297 | 0.1447 | 0.2012 | 0.9299 | 0 |
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| 0.1552 | 0.2652 | 0.5425 | 0.3971 | 0.4586 | 0.9433 | 1 |
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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 265618704
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version https://git-lfs.github.com/spec/v1
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size 265618704
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