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--- |
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license: mit |
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base_model: roberta-base |
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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: roberta_multiple_choice |
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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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# roberta_multiple_choice |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2868 |
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- Accuracy: 0.58 |
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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-06 |
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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: 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: 100 |
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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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| 1.4619 | 1.0 | 3207 | 1.2367 | 0.51 | |
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| 1.3209 | 2.0 | 6414 | 1.1911 | 0.525 | |
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| 1.2195 | 3.0 | 9621 | 1.1396 | 0.525 | |
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| 1.1211 | 4.0 | 12828 | 1.1321 | 0.53 | |
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| 1.0221 | 5.0 | 16035 | 1.2210 | 0.535 | |
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| 0.9262 | 6.0 | 19242 | 1.2008 | 0.555 | |
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| 0.8418 | 7.0 | 22449 | 1.2451 | 0.555 | |
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| 0.7691 | 8.0 | 25656 | 1.2793 | 0.555 | |
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| 0.6981 | 9.0 | 28863 | 1.2868 | 0.58 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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