Model save
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README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| 3.0683 | 5.3311 | 9500 | 0.4195 | 0.1307 | 3.1970 | 24.4597 |
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| 3.0502 | 5.6117 | 10000 | 0.4209 | 0.1331 | 3.1857 | 24.1847 |
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| 3.0469 | 5.8923 | 10500 | 0.4217 | 0.1309 | 3.1790 | 24.0231 |
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1692
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- Accuracy: 0.4228
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- Perplexity: 23.7877
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- Bleu: 0.1332
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7
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### Training results
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| 3.0683 | 5.3311 | 9500 | 0.4195 | 0.1307 | 3.1970 | 24.4597 |
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| 3.0502 | 5.6117 | 10000 | 0.4209 | 0.1331 | 3.1857 | 24.1847 |
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| 3.0469 | 5.8923 | 10500 | 0.4217 | 0.1309 | 3.1790 | 24.0231 |
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| 3.0245 | 6.1728 | 11000 | 3.1863 | 0.4205 | 24.1979 | 0.1294 |
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| 3.0203 | 6.4534 | 11500 | 3.1783 | 0.4218 | 24.0068 | 0.1331 |
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| 3.0265 | 6.7340 | 12000 | 3.1692 | 0.4228 | 23.7877 | 0.1332 |
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### Framework versions
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