---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-set_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-set_3

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: 2.1865
- Accuracy: 0.7300
- Qwk: 0.6937

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Qwk    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 91   | 2.3480          | 0.7245   | 0.6519 |
| No log        | 2.0   | 182  | 2.1615          | 0.7273   | 0.6827 |
| No log        | 3.0   | 273  | 2.2337          | 0.7107   | 0.6739 |
| No log        | 4.0   | 364  | 2.1598          | 0.7218   | 0.7019 |
| No log        | 5.0   | 455  | 2.1865          | 0.7300   | 0.6937 |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1