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Training in progress epoch 4
Browse files- README.md +12 -11
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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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- Train Accuracy: 0.
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- Train F1 M: 0.
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- Train Precision M: 0.
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- Train Recall M: 0.
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- Validation Loss: 0.
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- Validation Accuracy: 0.
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- Validation F1 M: 0.
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- Validation Precision M: 0.
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- Validation Recall M: 0.
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- Epoch:
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## Model description
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| 0.2012 | 0.9274 | 0.5204 | 0.3849 | 0.8616 | 0.2103 | 0.9175 | 0.5451 | 0.3970 | 0.9095 | 1 |
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| 0.1312 | 0.9511 | 0.5451 | 0.3969 | 0.9273 | 0.2125 | 0.9307 | 0.5571 | 0.4017 | 0.9523 | 2 |
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| 0.0871 | 0.9690 | 0.5547 | 0.4007 | 0.9557 | 0.2417 | 0.9301 | 0.5565 | 0.4013 | 0.9547 | 3 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 0.0559
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- Train Accuracy: 0.9805
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- Train F1 M: 0.5583
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- Train Precision M: 0.4028
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- Train Recall M: 0.9686
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- Validation Loss: 0.2533
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- Validation Accuracy: 0.9327
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- Validation F1 M: 0.5605
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- Validation Precision M: 0.4028
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- Validation Recall M: 0.9674
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- Epoch: 4
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## Model description
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| 0.2012 | 0.9274 | 0.5204 | 0.3849 | 0.8616 | 0.2103 | 0.9175 | 0.5451 | 0.3970 | 0.9095 | 1 |
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| 0.1312 | 0.9511 | 0.5451 | 0.3969 | 0.9273 | 0.2125 | 0.9307 | 0.5571 | 0.4017 | 0.9523 | 2 |
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| 0.0871 | 0.9690 | 0.5547 | 0.4007 | 0.9557 | 0.2417 | 0.9301 | 0.5565 | 0.4013 | 0.9547 | 3 |
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| 0.0559 | 0.9805 | 0.5583 | 0.4028 | 0.9686 | 0.2533 | 0.9327 | 0.5605 | 0.4028 | 0.9674 | 4 |
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### Framework versions
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tf_model.h5
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size 438223128
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version https://git-lfs.github.com/spec/v1
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size 438223128
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