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--- |
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license: mit |
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base_model: BAAI/bge-small-zh-v1.5 |
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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: sft-bge-bert24m-to-sentiment |
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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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# sft-bge-bert24m-to-sentiment |
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This model is a fine-tuned version of [BAAI/bge-small-zh-v1.5](https://huggingface.co/BAAI/bge-small-zh-v1.5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5564 |
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- Accuracy: 0.7853 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 5 |
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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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| 0.5355 | 1.0 | 3750 | 0.5576 | 0.7633 | |
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| 0.4901 | 2.0 | 7500 | 0.5481 | 0.779 | |
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| 0.4494 | 3.0 | 11250 | 0.5340 | 0.7793 | |
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| 0.4305 | 4.0 | 15000 | 0.5467 | 0.7797 | |
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| 0.3995 | 5.0 | 18750 | 0.5564 | 0.7853 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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