Training in progress epoch 226
Browse files- README.md +4 -3
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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: 0.8081
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- Train Accuracy: 0.1194
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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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@@ -270,6 +270,7 @@ The following hyperparameters were used during training:
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| 0.8090 | 0.1194 | 0.8071 | 0.1208 | 223 |
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| 0.8089 | 0.1194 | 0.8101 | 0.1195 | 224 |
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| 0.8081 | 0.1194 | 0.8311 | 0.1184 | 225 |
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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: 0.8081
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- Train Accuracy: 0.1194
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- Validation Loss: 0.8413
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- Validation Accuracy: 0.1198
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- Epoch: 226
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## Model description
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| 0.8090 | 0.1194 | 0.8071 | 0.1208 | 223 |
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| 0.8089 | 0.1194 | 0.8101 | 0.1195 | 224 |
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| 0.8081 | 0.1194 | 0.8311 | 0.1184 | 225 |
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| 0.8081 | 0.1194 | 0.8413 | 0.1198 | 226 |
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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 499741936
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b84e2846951e9c6d742d76255f403e8e119599b9cb829225f331ed6fd156df3
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size 499741936
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