| --- |
| 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 |
| |
