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: 0.0271
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0435 | 1.0 | 754 | 0.0345 |
| 0.0363 | 2.0 | 1508 | 0.0303 |
| 0.0307 | 3.0 | 2262 | 0.0281 |
| 0.0276 | 4.0 | 3016 | 0.0276 |
| 0.0259 | 5.0 | 3770 | 0.0274 |
| 0.0244 | 6.0 | 4524 | 0.0268 |
| 0.0233 | 7.0 | 5278 | 0.0275 |
| 0.0228 | 8.0 | 6032 | 0.0270 |
| 0.0221 | 9.0 | 6786 | 0.0272 |
| 0.0222 | 10.0 | 7540 | 0.0271 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1