---
library_name: transformers
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
model-index:
- name: climate-dual-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-dual-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: 0.0272

## 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