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

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: 0.8854
- F1 Macro: 0.9067
- Accuracy: 0.9138

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 17   | 0.7419          | 0.8663   | 0.8707   |
| No log        | 2.0   | 34   | 0.5085          | 0.8979   | 0.9052   |
| 0.2829        | 3.0   | 51   | 0.5812          | 0.9156   | 0.9224   |
| 0.2829        | 4.0   | 68   | 0.7805          | 0.9067   | 0.9138   |
| 0.2829        | 5.0   | 85   | 0.8854          | 0.9067   | 0.9138   |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2