NatthawatTung
commited on
Model save
Browse files- README.md +8 -8
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5338
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- Rouge2 Precision: 0.
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- Rouge2 Recall: 0.
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- Rouge2 Fmeasure: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| No log | 1.0 | 438 | 3.8119 | 0.
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| 15.5014 | 2.0 | 876 | 1.4861 | 0.
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| 2.1957 | 3.0 | 1314 | 0.7087 | 0.
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| 1.1325 | 4.0 | 1752 | 0.5575 | 0.
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| 0.7173 | 5.0 | 2190 | 0.5338 | 0.
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### Framework versions
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5338
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- Rouge2 Precision: 0.2042
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- Rouge2 Recall: 0.1342
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- Rouge2 Fmeasure: 0.1432
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| No log | 1.0 | 438 | 3.8119 | 0.0019 | 0.0007 | 0.001 |
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| 15.5014 | 2.0 | 876 | 1.4861 | 0.0065 | 0.0026 | 0.0036 |
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| 2.1957 | 3.0 | 1314 | 0.7087 | 0.049 | 0.0434 | 0.041 |
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| 1.1325 | 4.0 | 1752 | 0.5575 | 0.1566 | 0.1158 | 0.117 |
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| 0.7173 | 5.0 | 2190 | 0.5338 | 0.2042 | 0.1342 | 0.1432 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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