Training in progress epoch 391
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: 0.7319
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- Train Accuracy: 0.1214
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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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@@ -435,6 +435,7 @@ The following hyperparameters were used during training:
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| 0.7330 | 0.1214 | 0.7817 | 0.1203 | 388 |
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| 0.7334 | 0.1214 | 0.8193 | 0.1215 | 389 |
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| 0.7319 | 0.1214 | 0.7788 | 0.1208 | 390 |
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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: 0.7319
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- Train Accuracy: 0.1214
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- Validation Loss: 0.8042
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- Validation Accuracy: 0.1203
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- Epoch: 391
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## Model description
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435 |
| 0.7330 | 0.1214 | 0.7817 | 0.1203 | 388 |
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| 0.7334 | 0.1214 | 0.8193 | 0.1215 | 389 |
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437 |
| 0.7319 | 0.1214 | 0.7788 | 0.1208 | 390 |
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| 0.7319 | 0.1214 | 0.8042 | 0.1203 | 391 |
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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 sha256:2062a0e34e4c97f0b04848dfa7e5d09351bdf8192aeaf95cb26042295c60010c
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size 499741936
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