Upload TFBertForSequenceClassification
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- tf_model.h5 +1 -1
README.md
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@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Train Accuracy: 0.
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- Validation Loss: 0.
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- Validation Accuracy: 0.6284
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- Epoch: 2
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6174
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- Train Accuracy: 0.6515
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- Validation Loss: 0.6344
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- Validation Accuracy: 0.6284
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- Epoch: 2
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.6983 | 0.5310 | 0.7039 | 0.5301 | 0 |
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| 0.6642 | 0.5912 | 0.6633 | 0.6175 | 1 |
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| 0.6174 | 0.6515 | 0.6344 | 0.6284 | 2 |
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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 438223128
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version https://git-lfs.github.com/spec/v1
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oid sha256:fba9e8bd6ea2bc7f600211937002c50abf18f1d32d2d2f3969beb5915c4ad5ee
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size 438223128
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