---
library_name: transformers
license: apache-2.0
base_model: climatebert/distilroberta-base-climate-f
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: climatebert-multi
  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. -->

# climatebert-multi

This model is a fine-tuned version of [climatebert/distilroberta-base-climate-f](https://huggingface.co/climatebert/distilroberta-base-climate-f) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6759
- F1 Macro: 0.7668
- Accuracy: 0.8707

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 1.9279        | 1.0   | 17   | 1.7128          | 0.2639   | 0.6552   |
| 1.5847        | 2.0   | 34   | 1.5100          | 0.2639   | 0.6552   |
| 1.3489        | 3.0   | 51   | 1.0729          | 0.5454   | 0.8017   |
| 1.0319        | 4.0   | 68   | 0.8453          | 0.5843   | 0.8103   |
| 0.6454        | 5.0   | 85   | 0.6765          | 0.7668   | 0.8707   |
| 0.5125        | 6.0   | 102  | 0.6657          | 0.7466   | 0.8707   |
| 0.4469        | 7.0   | 119  | 0.7136          | 0.7605   | 0.8448   |
| 0.2631        | 8.0   | 136  | 0.6833          | 0.7559   | 0.8534   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2