---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: text_classification
  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. -->

# text_classification

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: 0.3130
- Accuracy: 0.9296

## 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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0246        | 0.1   | 625  | 0.5761          | 0.8912   |
| 1.1268        | 0.2   | 1250 | 0.5357          | 0.8916   |
| 1.5699        | 0.3   | 1875 | 0.5982          | 0.8884   |
| 1.0828        | 0.4   | 2500 | 0.3852          | 0.9128   |
| 0.003         | 0.5   | 3125 | 0.3994          | 0.9236   |
| 1.065         | 0.6   | 3750 | 0.3597          | 0.9248   |
| 1.1396        | 0.7   | 4375 | 0.3357          | 0.9272   |
| 0.0024        | 0.8   | 5000 | 0.3534          | 0.9276   |
| 0.0132        | 0.9   | 5625 | 0.3212          | 0.9304   |
| 0.0065        | 1.0   | 6250 | 0.3130          | 0.9296   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2