---
license: apache-2.0
base_model: alex-miller/ODABert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: iati-climate-classifier
  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. -->

# iati-climate-classifier

This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3397
- Accuracy: 0.8562

## 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.4374        | 1.0   | 2739  | 0.3603          | 0.8443   |
| 0.3492        | 2.0   | 5478  | 0.3553          | 0.8508   |
| 0.3265        | 3.0   | 8217  | 0.3397          | 0.8562   |
| 0.3099        | 4.0   | 10956 | 0.3404          | 0.8607   |
| 0.2955        | 5.0   | 13695 | 0.3536          | 0.8602   |
| 0.2849        | 6.0   | 16434 | 0.3486          | 0.8628   |
| 0.2746        | 7.0   | 19173 | 0.3484          | 0.8634   |
| 0.2681        | 8.0   | 21912 | 0.3518          | 0.8630   |
| 0.2619        | 9.0   | 24651 | 0.3560          | 0.8639   |
| 0.2597        | 10.0  | 27390 | 0.3535          | 0.8649   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2