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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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- text-classification |
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metrics: |
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- accuracy |
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model-index: |
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- name: ft-bert-with-swag |
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results: |
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- task: |
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name: Multiple Choice |
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type: multiple-choice |
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dataset: |
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name: swag |
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type: text-classification |
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config: regular |
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split: train[:500] |
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args: regular |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.62 |
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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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# ft-bert-with-swag |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9935 |
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- Accuracy: 0.62 |
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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: 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: 5 |
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- mixed_precision_training: Native AMP |
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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 | 13 | 1.1779 | 0.5 | |
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| No log | 2.0 | 26 | 0.9935 | 0.62 | |
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| No log | 3.0 | 39 | 1.0270 | 0.58 | |
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| No log | 4.0 | 52 | 1.0306 | 0.58 | |
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| No log | 5.0 | 65 | 1.0466 | 0.62 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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