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--- |
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license: apache-2.0 |
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base_model: Alibaba-NLP/gte-base-en-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: Classify-model-v1.2 |
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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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# Classify-model-v1.2 |
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This model is a fine-tuned version of [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2901 |
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- Accuracy: 0.9464 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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: 8 |
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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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| 1.0269 | 1.0 | 11 | 0.3949 | 0.8482 | |
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| 0.2124 | 2.0 | 22 | 0.2804 | 0.8929 | |
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| 0.0651 | 3.0 | 33 | 0.2142 | 0.9107 | |
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| 0.0224 | 4.0 | 44 | 0.2613 | 0.9196 | |
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| 0.0111 | 5.0 | 55 | 0.3168 | 0.9375 | |
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| 0.0082 | 6.0 | 66 | 0.2658 | 0.9464 | |
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| 0.0053 | 7.0 | 77 | 0.2768 | 0.9464 | |
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| 0.0049 | 8.0 | 88 | 0.2901 | 0.9464 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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