---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
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: 0.8221
- Accuracy: 0.8578
- F1: 0.9007

## 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
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.0601        | 0.2174 | 50   | 1.0957          | 0.8137   | 0.8774 |
| 0.1259        | 0.4348 | 100  | 0.7100          | 0.8284   | 0.8864 |
| 0.0279        | 0.6522 | 150  | 0.6962          | 0.8456   | 0.8885 |
| 0.0589        | 0.8696 | 200  | 0.6800          | 0.8603   | 0.9019 |
| 0.0544        | 1.0870 | 250  | 0.8519          | 0.8284   | 0.8818 |
| 0.0383        | 1.3043 | 300  | 0.7663          | 0.8578   | 0.8968 |
| 0.0126        | 1.5217 | 350  | 0.8467          | 0.8505   | 0.8920 |
| 0.0077        | 1.7391 | 400  | 0.8421          | 0.8578   | 0.8993 |
| 0.0874        | 1.9565 | 450  | 0.7528          | 0.8578   | 0.8961 |
| 0.0005        | 2.1739 | 500  | 0.8270          | 0.8652   | 0.9050 |
| 0.0009        | 2.3913 | 550  | 0.8435          | 0.8554   | 0.8981 |
| 0.0387        | 2.6087 | 600  | 0.8534          | 0.8652   | 0.9053 |
| 0.0495        | 2.8261 | 650  | 0.8221          | 0.8578   | 0.9007 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2