End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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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: 1.1613
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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 | 0.8770 | 0.737 |
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| 6.4745 | 0.6242 | 500 | 0.8535 | 0.731 |
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| 6.4745 | 0.9363 | 750 | 0.8849 | 0.729 |
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| 0.7885 | 1.2484 | 1000 | 0.8966 | 0.734 |
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| 0.7885 | 1.5605 | 1250 | 0.8883 | 0.723 |
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| 0.6817 | 1.8727 | 1500 | 1.0612 | 0.729 |
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| 0.6817 | 2.1848 | 1750 | 0.9602 | 0.739 |
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| 0.5535 | 2.4969 | 2000 | 1.5924 | 0.74 |
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| 0.5535 | 2.8090 | 2250 | 1.1613 | 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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model.safetensors
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size 98468060
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version https://git-lfs.github.com/spec/v1
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size 98468060
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