Training in progress epoch 230
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: 0.8045
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- Train Accuracy: 0.1195
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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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@@ -274,6 +274,7 @@ The following hyperparameters were used during training:
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| 0.8065 | 0.1195 | 0.8379 | 0.1202 | 227 |
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| 0.8064 | 0.1194 | 0.8398 | 0.1196 | 228 |
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| 0.8045 | 0.1195 | 0.8159 | 0.1199 | 229 |
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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: 0.8045
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- Train Accuracy: 0.1195
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- Validation Loss: 0.8350
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- Validation Accuracy: 0.1187
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- Epoch: 230
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## Model description
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| 0.8065 | 0.1195 | 0.8379 | 0.1202 | 227 |
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| 0.8064 | 0.1194 | 0.8398 | 0.1196 | 228 |
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| 0.8045 | 0.1195 | 0.8159 | 0.1199 | 229 |
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| 0.8045 | 0.1195 | 0.8350 | 0.1187 | 230 |
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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 sha256:8abf63c3ef401c3b001dee6e6296a7c03987ca34009af8435f87f2a87be3fbe3
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size 499741936
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