metadata
library_name: transformers
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
model-index:
- name: climate-dual-percentage-regression
results: []
climate-dual-percentage-regression
This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0272
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0614 | 1.0 | 75 | 0.0637 |
| 0.053 | 2.0 | 150 | 0.0520 |
| 0.0409 | 3.0 | 225 | 0.0377 |
| 0.0319 | 4.0 | 300 | 0.0333 |
| 0.028 | 5.0 | 375 | 0.0313 |
| 0.0261 | 6.0 | 450 | 0.0303 |
| 0.0243 | 7.0 | 525 | 0.0296 |
| 0.0231 | 8.0 | 600 | 0.0293 |
| 0.0217 | 9.0 | 675 | 0.0288 |
| 0.0214 | 10.0 | 750 | 0.0282 |
| 0.0205 | 11.0 | 825 | 0.0280 |
| 0.02 | 12.0 | 900 | 0.0279 |
| 0.019 | 13.0 | 975 | 0.0277 |
| 0.0185 | 14.0 | 1050 | 0.0276 |
| 0.0182 | 15.0 | 1125 | 0.0276 |
| 0.0179 | 16.0 | 1200 | 0.0274 |
| 0.0176 | 17.0 | 1275 | 0.0274 |
| 0.0175 | 18.0 | 1350 | 0.0273 |
| 0.0174 | 19.0 | 1425 | 0.0272 |
| 0.0172 | 20.0 | 1500 | 0.0272 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1