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--- |
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library_name: transformers |
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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: bert-base-uncased |
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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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# bert-base-uncased |
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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: 0.9202 |
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- Accuracy: 0.6305 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 1.1539 | 1.0 | 283 | 0.9575 | 0.6171 | |
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| 0.8446 | 2.0 | 566 | 0.9014 | 0.6295 | |
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| 0.633 | 3.0 | 849 | 0.9166 | 0.6140 | |
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| 0.4869 | 4.0 | 1132 | 1.0269 | 0.6275 | |
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| 0.4417 | 5.0 | 1415 | 1.1037 | 0.6305 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu118 |
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- Datasets 3.4.0 |
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- Tokenizers 0.21.1 |
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