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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| 0.1990 | 0.0712 | 0.8974 | 0.9226 | 0.9098 | 0.9790 | 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: 0.0544
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- Validation Loss: 0.0612
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- Train Precision: 0.9148
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- Train Recall: 0.9318
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- Train F1: 0.9232
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- Train Accuracy: 0.9822
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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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| 0.1990 | 0.0712 | 0.8974 | 0.9226 | 0.9098 | 0.9790 | 0 |
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| 0.0544 | 0.0612 | 0.9148 | 0.9318 | 0.9232 | 0.9822 | 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 265606416
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version https://git-lfs.github.com/spec/v1
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size 265606416
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