Training in progress epoch 16
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0002
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- Validation Loss: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| 0.0002 | 0.5171 | 0.9135 | 13 |
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| 0.0002 | 0.5276 | 0.9163 | 14 |
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| 0.0002 | 0.5344 | 0.9135 | 15 |
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### Framework versions
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0002
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- Validation Loss: 0.5362
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- Train Accuracy: 0.9163
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- Epoch: 16
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## Model description
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| 0.0002 | 0.5171 | 0.9135 | 13 |
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| 0.0002 | 0.5276 | 0.9163 | 14 |
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| 0.0002 | 0.5344 | 0.9135 | 15 |
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| 0.0002 | 0.5362 | 0.9163 | 16 |
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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 498059544
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version https://git-lfs.github.com/spec/v1
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oid sha256:1dcefdbb67a1d5286e935e9f40e7de8ad6b43f90d430313caf9d1451b351b0ce
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size 498059544
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