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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: rv2307/electra-small-ner |
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model-index: |
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- name: STS-Lora-Fine-Tuning-Capstone-electra-model-auto-cross-testing-123-final-pipes-value-error-solve |
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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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# STS-Lora-Fine-Tuning-Capstone-electra-model-auto-cross-testing-123-final-pipes-value-error-solve |
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This model is a fine-tuned version of [rv2307/electra-small-ner](https://huggingface.co/rv2307/electra-small-ner) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7183 |
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- Accuracy: 0.2727 |
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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: 3e-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: 10 |
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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 | 1.0 | 180 | 1.7288 | 0.2429 | |
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| No log | 2.0 | 360 | 1.7230 | 0.2502 | |
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| 1.7009 | 3.0 | 540 | 1.7216 | 0.2676 | |
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| 1.7009 | 4.0 | 720 | 1.7216 | 0.2705 | |
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| 1.7009 | 5.0 | 900 | 1.7183 | 0.2748 | |
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| 1.6754 | 6.0 | 1080 | 1.7186 | 0.2748 | |
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| 1.6754 | 7.0 | 1260 | 1.7178 | 0.2741 | |
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| 1.6754 | 8.0 | 1440 | 1.7184 | 0.2748 | |
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| 1.6715 | 9.0 | 1620 | 1.7183 | 0.2741 | |
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| 1.6715 | 10.0 | 1800 | 1.7183 | 0.2727 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
