---
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: 0.0271

## 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