End of training
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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### Framework versions
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- Transformers 4.33.
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7971
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- F1: 0.6393
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.8536 | 0.5 | 500 | 0.8421 | 0.6256 |
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| 0.8287 | 1.0 | 1000 | 0.8261 | 0.6295 |
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| 0.8274 | 1.5 | 1500 | 0.8228 | 0.6296 |
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| 0.8716 | 2.01 | 2000 | 0.9578 | 0.3234 |
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| 0.9525 | 2.51 | 2500 | 0.9556 | 0.3222 |
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| 0.9656 | 3.01 | 3000 | 0.9501 | 0.3222 |
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| 0.8652 | 3.51 | 3500 | 0.8374 | 0.6319 |
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| 0.831 | 4.01 | 4000 | 0.8575 | 0.6163 |
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| 0.8292 | 4.51 | 4500 | 0.8372 | 0.6290 |
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| 0.794 | 5.02 | 5000 | 0.8374 | 0.6268 |
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| 0.8711 | 5.52 | 5500 | 0.9145 | 0.5923 |
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| 0.823 | 6.02 | 6000 | 0.8496 | 0.6233 |
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| 0.8323 | 6.52 | 6500 | 0.8339 | 0.6243 |
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| 0.8009 | 7.02 | 7000 | 0.8403 | 0.6248 |
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| 0.8038 | 7.52 | 7500 | 0.8402 | 0.6243 |
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| 0.7961 | 8.02 | 8000 | 0.8370 | 0.6305 |
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| 0.793 | 8.53 | 8500 | 0.8203 | 0.6353 |
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| 0.7915 | 9.03 | 9000 | 0.8192 | 0.6306 |
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| 0.763 | 9.53 | 9500 | 0.7971 | 0.6393 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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