cancerfarore
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Training in progress epoch 8
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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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 End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 2.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits Accuracy: 0.
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- Epoch:
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## Model description
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@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
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| 0.2080 | 0.9388 | 0.9279 | 2.0004 | 0.6127 | 0.5999 | 5 |
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| 0.1521 | 0.9534 | 0.9488 | 2.0970 | 0.6157 | 0.6067 | 6 |
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| 0.1054 | 0.9666 | 0.9650 | 2.3507 | 0.6187 | 0.6120 | 7 |
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### Framework versions
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/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: 0.0850
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- Train End Logits Accuracy: 0.9741
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- Train Start Logits Accuracy: 0.9728
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- Validation Loss: 2.5902
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- Validation End Logits Accuracy: 0.5977
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- Validation Start Logits Accuracy: 0.5977
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- Epoch: 8
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## Model description
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| 0.2080 | 0.9388 | 0.9279 | 2.0004 | 0.6127 | 0.5999 | 5 |
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| 0.1521 | 0.9534 | 0.9488 | 2.0970 | 0.6157 | 0.6067 | 6 |
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| 0.1054 | 0.9666 | 0.9650 | 2.3507 | 0.6187 | 0.6120 | 7 |
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| 0.0850 | 0.9741 | 0.9728 | 2.5902 | 0.5977 | 0.5977 | 8 |
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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 435842000
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version https://git-lfs.github.com/spec/v1
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size 435842000
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