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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: bert-base-cased |
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model-index: |
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- name: test_trainer |
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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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# test_trainer |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3803 |
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- Accuracy: 0.842 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 25 |
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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 | 125 | 0.6786 | 0.608 | |
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| No log | 2.0 | 250 | 0.6718 | 0.598 | |
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| No log | 3.0 | 375 | 0.6695 | 0.574 | |
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| 0.6888 | 4.0 | 500 | 0.6583 | 0.599 | |
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| 0.6888 | 5.0 | 625 | 0.6262 | 0.684 | |
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| 0.6888 | 6.0 | 750 | 0.5936 | 0.697 | |
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| 0.6888 | 7.0 | 875 | 0.5520 | 0.721 | |
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| 0.6057 | 8.0 | 1000 | 0.5149 | 0.746 | |
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| 0.6057 | 9.0 | 1125 | 0.4848 | 0.762 | |
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| 0.6057 | 10.0 | 1250 | 0.4558 | 0.779 | |
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| 0.6057 | 11.0 | 1375 | 0.4346 | 0.793 | |
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| 0.4583 | 12.0 | 1500 | 0.4215 | 0.801 | |
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| 0.4583 | 13.0 | 1625 | 0.4094 | 0.815 | |
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| 0.4583 | 14.0 | 1750 | 0.4027 | 0.816 | |
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| 0.4583 | 15.0 | 1875 | 0.3962 | 0.82 | |
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| 0.3847 | 16.0 | 2000 | 0.3926 | 0.823 | |
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| 0.3847 | 17.0 | 2125 | 0.3873 | 0.835 | |
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| 0.3847 | 18.0 | 2250 | 0.3857 | 0.833 | |
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| 0.3847 | 19.0 | 2375 | 0.3823 | 0.836 | |
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| 0.3565 | 20.0 | 2500 | 0.3819 | 0.837 | |
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| 0.3565 | 21.0 | 2625 | 0.3850 | 0.837 | |
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| 0.3565 | 22.0 | 2750 | 0.3806 | 0.839 | |
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| 0.3565 | 23.0 | 2875 | 0.3801 | 0.84 | |
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| 0.3348 | 24.0 | 3000 | 0.3808 | 0.842 | |
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| 0.3348 | 25.0 | 3125 | 0.3803 | 0.842 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
