---
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