End of training
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README.md
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This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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| 0.
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| 0.
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| 0.7698 | 3.0 | 3456 | 0.9561 | 0.5879 |
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| 0.6523 | 4.0 | 4608 | 1.0678 | 0.5787 |
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| 0.4581 | 5.0 | 5760 | 1.2595 | 0.5648 |
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| 0.3461 | 6.0 | 6912 | 1.4034 | 0.5595 |
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| 0.2374 | 7.0 | 8064 | 1.5402 | 0.5630 |
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| 0.2438 | 8.0 | 9216 | 1.7174 | 0.5607 |
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| 0.2324 | 9.0 | 10368 | 1.7918 | 0.5640 |
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| 0.1555 | 10.0 | 11520 | 1.8509 | 0.5615 |
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### Framework versions
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This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9014
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- Accuracy: 0.5935
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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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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| 0.9269 | 1.0 | 1152 | 0.8890 | 0.5913 |
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| 0.8122 | 2.0 | 2304 | 0.9014 | 0.5935 |
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### Framework versions
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model.safetensors
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