---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results_v3
  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_v3

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: 0.1078

## 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0953        | 1.0   | 5427  | 0.0894          |
| 0.0803        | 2.0   | 10854 | 0.0849          |
| 0.072         | 3.0   | 16281 | 0.0844          |
| 0.0629        | 4.0   | 21708 | 0.0863          |
| 0.0604        | 5.0   | 27135 | 0.0893          |
| 0.0543        | 6.0   | 32562 | 0.0919          |
| 0.054         | 7.0   | 37989 | 0.0955          |
| 0.0443        | 8.0   | 43416 | 0.0979          |
| 0.0463        | 9.0   | 48843 | 0.1017          |
| 0.0394        | 10.0  | 54270 | 0.1060          |
| 0.035         | 11.0  | 59697 | 0.1078          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1