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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
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