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README.md
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This model is a fine-tuned version of [razent/spbert-mlm-base](https://huggingface.co/razent/spbert-mlm-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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- Accuracy: 0.
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## Model description
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.
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- Datasets 2.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [razent/spbert-mlm-base](https://huggingface.co/razent/spbert-mlm-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3089
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- Accuracy: 0.9525
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 3.9512 | 0.43 | 1000 | 1.3428 | 0.6989 |
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| 1.0044 | 0.85 | 2000 | 0.5995 | 0.9014 |
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| 0.5483 | 1.28 | 3000 | 0.4462 | 0.9309 |
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| 0.436 | 1.7 | 4000 | 0.4086 | 0.9377 |
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| 0.3764 | 2.13 | 5000 | 0.3567 | 0.9463 |
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| 0.337 | 2.56 | 6000 | 0.3343 | 0.9496 |
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| 0.3115 | 2.98 | 7000 | 0.3089 | 0.9525 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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