---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2290
- Micro f1: 0.7075
- Macro f1: 0.6540

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 32
- 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: constant
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.4348        | 1.0   | 56   | 0.3544          | 0.0      | 0.0      |
| 0.3297        | 2.0   | 112  | 0.3156          | 0.3816   | 0.1501   |
| 0.2897        | 3.0   | 168  | 0.2885          | 0.3684   | 0.1382   |
| 0.2501        | 4.0   | 224  | 0.2668          | 0.5465   | 0.2805   |
| 0.211         | 5.0   | 280  | 0.2335          | 0.56     | 0.2879   |
| 0.1765        | 6.0   | 336  | 0.2264          | 0.5876   | 0.3426   |
| 0.1497        | 7.0   | 392  | 0.2205          | 0.6102   | 0.3650   |
| 0.1221        | 8.0   | 448  | 0.1988          | 0.6919   | 0.5777   |
| 0.0964        | 9.0   | 504  | 0.2068          | 0.6701   | 0.5927   |
| 0.0753        | 10.0  | 560  | 0.1951          | 0.6927   | 0.5971   |
| 0.0614        | 11.0  | 616  | 0.1945          | 0.7136   | 0.6779   |
| 0.0495        | 12.0  | 672  | 0.2035          | 0.6866   | 0.6138   |
| 0.0387        | 13.0  | 728  | 0.2069          | 0.6977   | 0.6563   |
| 0.0347        | 14.0  | 784  | 0.2082          | 0.7238   | 0.6668   |
| 0.0318        | 15.0  | 840  | 0.2161          | 0.6957   | 0.6380   |
| 0.028         | 16.0  | 896  | 0.2075          | 0.7143   | 0.6687   |
| 0.0235        | 17.0  | 952  | 0.2149          | 0.7130   | 0.6650   |
| 0.0212        | 18.0  | 1008 | 0.2201          | 0.7170   | 0.6655   |
| 0.019         | 19.0  | 1064 | 0.2196          | 0.7256   | 0.6686   |
| 0.0169        | 20.0  | 1120 | 0.2290          | 0.7075   | 0.6540   |


### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4