| --- |
| library_name: transformers |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: roberta-base_Climate_LRTC |
| 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_LRTC |
|
|
| 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: 2.3055 |
| - Accuracy: 0.3059 |
| - Macro Precision: 0.2071 |
| - Macro F1: 0.2024 |
|
|
| ## 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 | 2.0799 | 0.2283 | 0.0285 | 0.0465 | |
| | No log | 2.0 | 108 | 2.0098 | 0.2694 | 0.1451 | 0.1515 | |
| | No log | 3.0 | 162 | 1.9431 | 0.1644 | 0.1181 | 0.1167 | |
| | No log | 4.0 | 216 | 1.9499 | 0.1963 | 0.1930 | 0.1561 | |
| | No log | 5.0 | 270 | 1.9524 | 0.2192 | 0.2342 | 0.1982 | |
| | No log | 6.0 | 324 | 2.0069 | 0.2648 | 0.2232 | 0.2092 | |
| | No log | 7.0 | 378 | 2.0393 | 0.2877 | 0.1995 | 0.1980 | |
| | No log | 8.0 | 432 | 2.1675 | 0.3151 | 0.2590 | 0.2438 | |
| | No log | 9.0 | 486 | 2.1879 | 0.3242 | 0.2509 | 0.2445 | |
| | 1.4214 | 10.0 | 540 | 2.2435 | 0.2922 | 0.1962 | 0.1908 | |
| | 1.4214 | 11.0 | 594 | 2.3314 | 0.3014 | 0.2107 | 0.2060 | |
| | 1.4214 | 12.0 | 648 | 2.3055 | 0.3059 | 0.2071 | 0.2024 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
