---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: test
  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. -->

# test

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: 0.8066
- Accuracy: 0.8412
- F1: 0.8864

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5381        | 1.0   | 58   | 0.4061          | 0.8214   | 0.8669 |
| 0.3253        | 2.0   | 116  | 0.3933          | 0.8209   | 0.8625 |
| 0.1943        | 3.0   | 174  | 0.4147          | 0.8307   | 0.8734 |
| 0.099         | 4.0   | 232  | 0.7017          | 0.8180   | 0.8739 |
| 0.0578        | 5.0   | 290  | 0.7371          | 0.8348   | 0.8799 |
| 0.0305        | 6.0   | 348  | 0.7759          | 0.8429   | 0.8879 |
| 0.0187        | 7.0   | 406  | 0.8006          | 0.8394   | 0.8851 |
| 0.0161        | 8.0   | 464  | 0.8066          | 0.8412   | 0.8864 |


### Framework versions

- Transformers 4.54.0
- Pytorch 2.7.1+cu118
- Datasets 3.0.2
- Tokenizers 0.21.2