Finetuned raygx/GPT2-Nepali-Casual-LM model for generating Covid-News; 10 Epochs
Browse files- README.md +12 -12
- tf_model.h5 +1 -1
README.md
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss: 6.
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- Epoch: 9
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## Model description
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| Train Loss | Validation Loss | Epoch |
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### Framework versions
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 6.2848
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- Validation Loss: 6.4997
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- Epoch: 9
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 7.9127 | 7.4885 | 0 |
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| 7.2651 | 7.2848 | 1 |
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| 7.0688 | 7.1212 | 2 |
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| 6.9180 | 6.9791 | 3 |
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| 6.7836 | 6.8700 | 4 |
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| 6.6663 | 6.7885 | 5 |
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| 6.5613 | 6.7219 | 6 |
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| 6.4627 | 6.6263 | 7 |
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| 6.3710 | 6.5719 | 8 |
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| 6.2848 | 6.4997 | 9 |
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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 357679600
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae99f8ee5d3673c0b5571fa808298f66f45bba504f04b57c50d1ca45b088554a
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size 357679600
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