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--- |
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base_model: techthiyanes/chinese_sentiment |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: ASAP_SENT |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ASAP_SENT |
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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: 1.8509 |
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- Accuracy: 0.5615 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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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: 10 |
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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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| 0.9289 | 1.0 | 1152 | 0.8937 | 0.5879 | |
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| 0.8395 | 2.0 | 2304 | 0.9166 | 0.5913 | |
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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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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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