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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: alex-miller/ODABert |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: climate-dual-percentage-regression |
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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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# climate-dual-percentage-regression |
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0272 |
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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-06 |
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- train_batch_size: 24 |
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- eval_batch_size: 24 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0614 | 1.0 | 75 | 0.0637 | |
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| 0.053 | 2.0 | 150 | 0.0520 | |
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| 0.0409 | 3.0 | 225 | 0.0377 | |
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| 0.0319 | 4.0 | 300 | 0.0333 | |
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| 0.028 | 5.0 | 375 | 0.0313 | |
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| 0.0261 | 6.0 | 450 | 0.0303 | |
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| 0.0243 | 7.0 | 525 | 0.0296 | |
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| 0.0231 | 8.0 | 600 | 0.0293 | |
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| 0.0217 | 9.0 | 675 | 0.0288 | |
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| 0.0214 | 10.0 | 750 | 0.0282 | |
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| 0.0205 | 11.0 | 825 | 0.0280 | |
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| 0.02 | 12.0 | 900 | 0.0279 | |
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| 0.019 | 13.0 | 975 | 0.0277 | |
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| 0.0185 | 14.0 | 1050 | 0.0276 | |
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| 0.0182 | 15.0 | 1125 | 0.0276 | |
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| 0.0179 | 16.0 | 1200 | 0.0274 | |
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| 0.0176 | 17.0 | 1275 | 0.0274 | |
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| 0.0175 | 18.0 | 1350 | 0.0273 | |
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| 0.0174 | 19.0 | 1425 | 0.0272 | |
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| 0.0172 | 20.0 | 1500 | 0.0272 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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