Training in progress epoch 266
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: 0.7834
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- Train Accuracy: 0.1201
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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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@@ -310,6 +310,7 @@ The following hyperparameters were used during training:
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| 0.7844 | 0.1200 | 0.8237 | 0.1201 | 263 |
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| 0.7844 | 0.1200 | 0.8311 | 0.1185 | 264 |
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| 0.7834 | 0.1201 | 0.8193 | 0.1193 | 265 |
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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: 0.7834
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- Train Accuracy: 0.1201
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- Validation Loss: 0.8276
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- Validation Accuracy: 0.1191
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- Epoch: 266
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## Model description
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| 0.7844 | 0.1200 | 0.8237 | 0.1201 | 263 |
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| 0.7844 | 0.1200 | 0.8311 | 0.1185 | 264 |
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| 0.7834 | 0.1201 | 0.8193 | 0.1193 | 265 |
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| 0.7834 | 0.1201 | 0.8276 | 0.1191 | 266 |
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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:f21a6d14fbb2f0df51f18995764f1c7460c203eaeb23ebe44479cdae664a0dab
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size 499741936
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