metadata
library_name: transformers
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
model-index:
- name: climate-percentage-regression
results: []
climate-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: 0.0553
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: 8e-07
- 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 |
|---|---|---|---|
| 0.0861 | 1.0 | 126 | 0.0733 |
| 0.0763 | 2.0 | 252 | 0.0666 |
| 0.0698 | 3.0 | 378 | 0.0607 |
| 0.0613 | 4.0 | 504 | 0.0574 |
| 0.056 | 5.0 | 630 | 0.0574 |
| 0.0536 | 6.0 | 756 | 0.0568 |
| 0.0519 | 7.0 | 882 | 0.0564 |
| 0.0496 | 8.0 | 1008 | 0.0559 |
| 0.0472 | 9.0 | 1134 | 0.0564 |
| 0.0472 | 10.0 | 1260 | 0.0563 |
| 0.0455 | 11.0 | 1386 | 0.0562 |
| 0.0463 | 12.0 | 1512 | 0.0553 |
| 0.0449 | 13.0 | 1638 | 0.0554 |
| 0.0448 | 14.0 | 1764 | 0.0550 |
| 0.0445 | 15.0 | 1890 | 0.0554 |
| 0.0432 | 16.0 | 2016 | 0.0551 |
| 0.0438 | 17.0 | 2142 | 0.0553 |
| 0.0426 | 18.0 | 2268 | 0.0552 |
| 0.0435 | 19.0 | 2394 | 0.0553 |
| 0.0429 | 20.0 | 2520 | 0.0553 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1