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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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datasets: |
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- cosmos_qa |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-uncased-finetuned-swag |
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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-finetuned-swag |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the cosmos_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2446 |
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- Accuracy: 0.5564 |
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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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| 1.0929 | 1.0 | 6316 | 1.0877 | 0.5404 | |
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| 0.6544 | 2.0 | 12632 | 1.4658 | 0.5719 | |
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| 0.3397 | 3.0 | 18948 | 3.2446 | 0.5564 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.2 |
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