Training in progress epoch 436
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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@@ -16,9 +16,9 @@ This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe
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It achieves the following results on the evaluation set:
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- Train Loss: 0.7185
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- Train Accuracy: 0.1218
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- Validation Loss: 0.
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- Validation Accuracy: 0.
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- Epoch:
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## Model description
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@@ -480,6 +480,7 @@ The following hyperparameters were used during training:
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| 0.7195 | 0.1218 | 0.7974 | 0.1214 | 433 |
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| 0.7191 | 0.1218 | 0.7954 | 0.1202 | 434 |
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| 0.7185 | 0.1218 | 0.7866 | 0.1211 | 435 |
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### Framework versions
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It achieves the following results on the evaluation set:
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- Train Loss: 0.7185
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- Train Accuracy: 0.1218
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- Validation Loss: 0.7881
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- Validation Accuracy: 0.1220
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- Epoch: 436
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## Model description
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| 0.7195 | 0.1218 | 0.7974 | 0.1214 | 433 |
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| 0.7191 | 0.1218 | 0.7954 | 0.1202 | 434 |
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482 |
| 0.7185 | 0.1218 | 0.7866 | 0.1211 | 435 |
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| 0.7185 | 0.1218 | 0.7881 | 0.1220 | 436 |
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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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size 499741936
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version https://git-lfs.github.com/spec/v1
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size 499741936
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