---
library_name: transformers
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
model-index:
- name: climate-percentage-regression
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# climate-percentage-regression

This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0489

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0982        | 1.0   | 75   | 0.0878          |
| 0.0608        | 2.0   | 150  | 0.0590          |
| 0.0473        | 3.0   | 225  | 0.0535          |
| 0.0409        | 4.0   | 300  | 0.0521          |
| 0.0377        | 5.0   | 375  | 0.0506          |
| 0.0365        | 6.0   | 450  | 0.0506          |
| 0.0332        | 7.0   | 525  | 0.0497          |
| 0.0323        | 8.0   | 600  | 0.0495          |
| 0.0302        | 9.0   | 675  | 0.0490          |
| 0.0295        | 10.0  | 750  | 0.0491          |
| 0.0276        | 11.0  | 825  | 0.0486          |
| 0.0263        | 12.0  | 900  | 0.0487          |
| 0.026         | 13.0  | 975  | 0.0487          |
| 0.0246        | 14.0  | 1050 | 0.0486          |
| 0.0239        | 15.0  | 1125 | 0.0484          |
| 0.0234        | 16.0  | 1200 | 0.0486          |
| 0.0232        | 17.0  | 1275 | 0.0488          |
| 0.0229        | 18.0  | 1350 | 0.0487          |
| 0.0227        | 19.0  | 1425 | 0.0489          |
| 0.0222        | 20.0  | 1500 | 0.0489          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1