---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3095
- Macro F1: 0.8317
- Macro Precision: 0.8609
- Macro Recall: 0.8061
- Macro Support: None

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Macro Support |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:-------------:|
| No log        | 1.0   | 86   | 0.5550          | 0.1427   | 0.1109          | 0.2          | None          |
| 0.6112        | 2.0   | 172  | 0.4244          | 0.5106   | 0.7966          | 0.4864       | None          |
| 0.4482        | 3.0   | 258  | 0.3317          | 0.7370   | 0.7756          | 0.7129       | None          |
| 0.3083        | 4.0   | 344  | 0.3029          | 0.7749   | 0.8252          | 0.7414       | None          |
| 0.2015        | 5.0   | 430  | 0.2997          | 0.7893   | 0.8241          | 0.7742       | None          |
| 0.1252        | 6.0   | 516  | 0.2980          | 0.8110   | 0.8430          | 0.7882       | None          |
| 0.0736        | 7.0   | 602  | 0.3023          | 0.8148   | 0.8565          | 0.7811       | None          |
| 0.0736        | 8.0   | 688  | 0.3091          | 0.8279   | 0.8448          | 0.8135       | None          |
| 0.0384        | 9.0   | 774  | 0.3087          | 0.8313   | 0.8613          | 0.8062       | None          |
| 0.0216        | 10.0  | 860  | 0.3095          | 0.8317   | 0.8609          | 0.8061       | None          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1