---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert_test_6
  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. -->

# bert_test_6

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: 0.7765
- F1: 0.8771

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0636        | 1.0   | 341  | 0.5332          | 0.8392 |
| 0.3956        | 2.0   | 682  | 0.4838          | 0.8527 |
| 0.2223        | 3.0   | 1023 | 0.5233          | 0.8614 |
| 0.1499        | 4.0   | 1364 | 0.6195          | 0.8523 |
| 0.0882        | 5.0   | 1705 | 0.7167          | 0.8586 |
| 0.0528        | 6.0   | 2046 | 0.8098          | 0.8473 |
| 0.0434        | 7.0   | 2387 | 0.7825          | 0.8654 |
| 0.0231        | 8.0   | 2728 | 0.7347          | 0.8799 |
| 0.0105        | 9.0   | 3069 | 0.7785          | 0.8817 |
| 0.0078        | 10.0  | 3410 | 0.7765          | 0.8771 |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3