Training in progress epoch 282
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: 0.7751
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- Train Accuracy: 0.1203
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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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@@ -326,6 +326,7 @@ The following hyperparameters were used during training:
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| 0.7762 | 0.1202 | 0.8154 | 0.1194 | 279 |
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| 0.7757 | 0.1202 | 0.8242 | 0.1196 | 280 |
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| 0.7751 | 0.1203 | 0.8140 | 0.1215 | 281 |
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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: 0.7751
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- Train Accuracy: 0.1203
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- Validation Loss: 0.8193
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- Validation Accuracy: 0.1197
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- Epoch: 282
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## Model description
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| 0.7762 | 0.1202 | 0.8154 | 0.1194 | 279 |
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| 0.7757 | 0.1202 | 0.8242 | 0.1196 | 280 |
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328 |
| 0.7751 | 0.1203 | 0.8140 | 0.1215 | 281 |
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| 0.7751 | 0.1203 | 0.8193 | 0.1197 | 282 |
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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 sha256:60ec1fea4a3bf91a64464948ba43b51a4a557af51c317d762732dfbb0eaba66f
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size 499741936
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