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--- |
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license: apache-2.0 |
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base_model: shibing624/text2vec-base-chinese |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: cosent-similarity-text2vec |
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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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# cosent-similarity-text2vec |
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This model is a fine-tuned version of [shibing624/text2vec-base-chinese](https://huggingface.co/shibing624/text2vec-base-chinese) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1356 |
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- Accuracy: 0.9737 |
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- F1: 0.9783 |
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- Precision: 0.9783 |
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- Recall: 0.9783 |
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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 | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| No log | 1.0 | 22 | 0.3018 | 0.8816 | 0.8941 | 0.9744 | 0.8261 | |
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| No log | 2.0 | 44 | 0.2175 | 0.9342 | 0.9438 | 0.9767 | 0.9130 | |
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| No log | 3.0 | 66 | 0.1449 | 0.9605 | 0.9670 | 0.9778 | 0.9565 | |
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| No log | 4.0 | 88 | 0.1480 | 0.9605 | 0.9670 | 0.9778 | 0.9565 | |
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| No log | 5.0 | 110 | 0.1356 | 0.9737 | 0.9783 | 0.9783 | 0.9783 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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