---
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