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End of training
Browse files- README.md +71 -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
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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
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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: 0.9925
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- Accuracy: 0.737
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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 | 0.25 | 250 | 0.8564 | 0.705 |
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| 12.045 | 0.5 | 500 | 0.7663 | 0.726 |
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| 12.045 | 0.75 | 750 | 0.7659 | 0.707 |
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| 0.8388 | 1.0 | 1000 | 0.7144 | 0.737 |
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| 0.8388 | 1.25 | 1250 | 0.7986 | 0.734 |
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| 0.658 | 1.5 | 1500 | 0.8002 | 0.728 |
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| 0.658 | 1.75 | 1750 | 0.7685 | 0.736 |
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| 0.6945 | 2.0 | 2000 | 0.7751 | 0.738 |
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| 0.6945 | 2.25 | 2250 | 1.2388 | 0.73 |
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| 0.5058 | 2.5 | 2500 | 1.1562 | 0.733 |
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| 0.5058 | 2.75 | 2750 | 0.9343 | 0.736 |
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| 0.5251 | 3.0 | 3000 | 0.9925 | 0.737 |
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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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version https://git-lfs.github.com/spec/v1
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-
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size 98468060
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4d1ebc031285fbf62ae7b01e0742df9b30773b7d71cff6fa78a84a6a19abb1d
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size 98468060
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