metadata
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: []
climatebert
This model is a fine-tuned version of 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