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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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: results |
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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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# results |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5162 |
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- Accuracy: 0.9213 |
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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: 2e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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: 7 |
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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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| 6.0895 | 1.0 | 2371 | 5.7708 | 0.4478 | |
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| 4.5154 | 2.0 | 4742 | 4.3046 | 0.7988 | |
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| 3.5146 | 3.0 | 7113 | 3.1486 | 0.8932 | |
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| 2.6148 | 4.0 | 9484 | 2.3505 | 0.9134 | |
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| 2.1514 | 5.0 | 11855 | 1.8621 | 0.9178 | |
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| 1.9055 | 6.0 | 14226 | 1.5997 | 0.9210 | |
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| 1.635 | 7.0 | 16597 | 1.5162 | 0.9213 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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