---
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: unga-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. -->

# unga-climate-classifier

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0807
- Accuracy: 0.975
- F1 Macro: 0.9710
- Accuracy Balanced: 0.9715
- F1 Micro: 0.975
- Precision Macro: 0.9705
- Recall Macro: 0.9715
- Precision Micro: 0.975
- Recall Micro: 0.975

## 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-05
- train_batch_size: 16
- eval_batch_size: 80
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
| No log        | 1.0   | 123  | 0.1057          | 0.9726   | 0.9675   | 0.9583            | 0.9726   | 0.9783          | 0.9583       | 0.9726          | 0.9726       |
| No log        | 2.0   | 246  | 0.1102          | 0.9726   | 0.9683   | 0.9697            | 0.9726   | 0.9669          | 0.9697       | 0.9726          | 0.9726       |
| No log        | 3.0   | 369  | 0.0894          | 0.9798   | 0.9763   | 0.9729            | 0.9798   | 0.9800          | 0.9729       | 0.9798          | 0.9798       |
| No log        | 4.0   | 492  | 0.1098          | 0.9762   | 0.9723   | 0.9723            | 0.9762   | 0.9723          | 0.9723       | 0.9762          | 0.9762       |
| 0.1374        | 5.0   | 615  | 0.1026          | 0.9798   | 0.9763   | 0.9729            | 0.9798   | 0.9800          | 0.9729       | 0.9798          | 0.9798       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.5.0+cu121
- Datasets 2.6.0
- Tokenizers 0.15.2