| --- |
| library_name: transformers |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: roberta-base_Climate_Native |
| 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. --> |
|
|
| # roberta-base_Climate_Native |
|
|
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4963 |
| - Accuracy: 0.2237 |
| - Macro Precision: 0.1864 |
| - Macro F1: 0.1782 |
|
|
| ## 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: 16 |
| - 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: 12 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:--------:| |
| | No log | 1.0 | 54 | 2.5363 | 0.2009 | 0.0522 | 0.0673 | |
| | No log | 2.0 | 108 | 2.4069 | 0.2055 | 0.0897 | 0.1130 | |
| | No log | 3.0 | 162 | 2.3152 | 0.1963 | 0.1934 | 0.1428 | |
| | No log | 4.0 | 216 | 2.3128 | 0.2055 | 0.1677 | 0.1483 | |
| | No log | 5.0 | 270 | 2.3046 | 0.1963 | 0.2270 | 0.1593 | |
| | No log | 6.0 | 324 | 2.3584 | 0.1735 | 0.2232 | 0.1464 | |
| | No log | 7.0 | 378 | 2.3716 | 0.2055 | 0.2044 | 0.1734 | |
| | No log | 8.0 | 432 | 2.3831 | 0.2100 | 0.2004 | 0.1828 | |
| | No log | 9.0 | 486 | 2.4299 | 0.1963 | 0.1999 | 0.1720 | |
| | 1.7557 | 10.0 | 540 | 2.4529 | 0.2100 | 0.1972 | 0.1666 | |
| | 1.7557 | 11.0 | 594 | 2.4833 | 0.2192 | 0.1914 | 0.1764 | |
| | 1.7557 | 12.0 | 648 | 2.4963 | 0.2237 | 0.1864 | 0.1782 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
