Training in progress epoch 481
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: 0.7094
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- Train Accuracy: 0.1221
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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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@@ -525,6 +525,7 @@ The following hyperparameters were used during training:
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| 0.7101 | 0.1220 | 0.7881 | 0.1206 | 478 |
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| 0.7096 | 0.1220 | 0.8027 | 0.1201 | 479 |
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| 0.7094 | 0.1221 | 0.7861 | 0.1204 | 480 |
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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: 0.7094
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- Train Accuracy: 0.1221
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- Validation Loss: 0.7798
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- Validation Accuracy: 0.1214
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- Epoch: 481
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## Model description
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| 0.7101 | 0.1220 | 0.7881 | 0.1206 | 478 |
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526 |
| 0.7096 | 0.1220 | 0.8027 | 0.1201 | 479 |
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527 |
| 0.7094 | 0.1221 | 0.7861 | 0.1204 | 480 |
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| 0.7094 | 0.1221 | 0.7798 | 0.1214 | 481 |
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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 sha256:76af32ef974c101686507e7cf57ef8603c0a3b7522d3ebe3cb9a7c7b2dada0d6
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size 499741936
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