---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fine-tune-vanilla-bert-base-uncased-ch9
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tune-vanilla-bert-base-uncased-ch9

This model is a fine-tuned version of [omersubasi/bert-base-uncased-issues-128](https://huggingface.co/omersubasi/bert-base-uncased-issues-128) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1664
- Micro f1: 0.7308
- Macro f1: 0.6418

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3943        | 1.0   | 56   | 0.3426          | 0.0      | 0.0      |
| 0.3165        | 2.0   | 112  | 0.3111          | 0.2857   | 0.1010   |
| 0.2701        | 3.0   | 168  | 0.2531          | 0.5      | 0.2266   |
| 0.2019        | 4.0   | 224  | 0.2155          | 0.6196   | 0.3375   |
| 0.1544        | 5.0   | 280  | 0.2094          | 0.6064   | 0.4363   |
| 0.1135        | 6.0   | 336  | 0.1829          | 0.7030   | 0.5914   |
| 0.0823        | 7.0   | 392  | 0.1774          | 0.6970   | 0.5956   |
| 0.0619        | 8.0   | 448  | 0.1781          | 0.6965   | 0.6130   |
| 0.0491        | 9.0   | 504  | 0.1695          | 0.7327   | 0.6402   |
| 0.0419        | 10.0  | 560  | 0.1664          | 0.7308   | 0.6418   |


### Framework versions

- Transformers 4.16.2
- Pytorch 2.1.0+cu118
- Datasets 1.16.1
- Tokenizers 0.15.0