Training in progress epoch 442
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: 0.7176
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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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@@ -486,6 +486,7 @@ The following hyperparameters were used during training:
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| 0.7183 | 0.1218 | 0.7847 | 0.1210 | 439 |
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| 0.7177 | 0.1218 | 0.7744 | 0.1214 | 440 |
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| 0.7176 | 0.1218 | 0.7754 | 0.1209 | 441 |
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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: 0.7176
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- Train Accuracy: 0.1218
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- Validation Loss: 0.7764
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- Validation Accuracy: 0.1213
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- Epoch: 442
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## Model description
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| 0.7183 | 0.1218 | 0.7847 | 0.1210 | 439 |
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| 0.7177 | 0.1218 | 0.7744 | 0.1214 | 440 |
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488 |
| 0.7176 | 0.1218 | 0.7754 | 0.1209 | 441 |
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| 0.7176 | 0.1218 | 0.7764 | 0.1213 | 442 |
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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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oid sha256:facff0804f6eebb220236c5787697823c86db892e4cdb45ce587e64670275ed3
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size 499741936
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