| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert-base-uncased_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. --> |
|
|
| # bert-base-uncased_Climate_Native |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.5023 |
| - Accuracy: 0.1918 |
| - Macro Precision: 0.1684 |
| - Macro F1: 0.1506 |
|
|
| ## 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 | 2.5385 | 0.0776 | 0.0186 | 0.0203 | |
| | No log | 2.0 | 108 | 2.5546 | 0.1461 | 0.1123 | 0.0748 | |
| | No log | 3.0 | 162 | 2.5084 | 0.1324 | 0.0984 | 0.0825 | |
| | No log | 4.0 | 216 | 2.4910 | 0.1461 | 0.1522 | 0.1045 | |
| | No log | 5.0 | 270 | 2.5041 | 0.1461 | 0.1123 | 0.1115 | |
| | No log | 6.0 | 324 | 2.4740 | 0.1735 | 0.1679 | 0.1266 | |
| | No log | 7.0 | 378 | 2.4794 | 0.1735 | 0.1498 | 0.1278 | |
| | No log | 8.0 | 432 | 2.5280 | 0.1826 | 0.1629 | 0.1392 | |
| | No log | 9.0 | 486 | 2.5101 | 0.1826 | 0.1670 | 0.1482 | |
| | 2.0352 | 10.0 | 540 | 2.5178 | 0.1735 | 0.1505 | 0.1365 | |
| | 2.0352 | 11.0 | 594 | 2.5215 | 0.1872 | 0.1628 | 0.1458 | |
| | 2.0352 | 12.0 | 648 | 2.5023 | 0.1918 | 0.1684 | 0.1506 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
