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--- |
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license: mit |
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base_model: nlpie/bio-mobilebert |
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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: NLPGroupProject-Finetune-bio-mobilebert-AL |
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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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# NLPGroupProject-Finetune-bio-mobilebert-AL |
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This model is a fine-tuned version of [nlpie/bio-mobilebert](https://huggingface.co/nlpie/bio-mobilebert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0324 |
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- Accuracy: 0.742 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 3 |
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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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| No log | 0.3121 | 250 | 0.8727 | 0.727 | |
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| 35.354 | 0.6242 | 500 | 0.7830 | 0.738 | |
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| 35.354 | 0.9363 | 750 | 0.7660 | 0.745 | |
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| 0.8233 | 1.2484 | 1000 | 0.9794 | 0.744 | |
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| 0.8233 | 1.5605 | 1250 | 0.8635 | 0.746 | |
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| 0.7285 | 1.8727 | 1500 | 0.6671 | 0.747 | |
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| 0.7285 | 2.1848 | 1750 | 1.0348 | 0.758 | |
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| 0.5734 | 2.4969 | 2000 | 1.0761 | 0.747 | |
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| 0.5734 | 2.8090 | 2250 | 1.0324 | 0.742 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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