---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
  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-issues-128

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: 0.1675

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.239         | 1.0   | 291  | 0.2306          |
| 0.1865        | 2.0   | 582  | 0.1971          |
| 0.169         | 3.0   | 873  | 0.1918          |
| 0.1603        | 4.0   | 1164 | 0.1875          |
| 0.1536        | 5.0   | 1455 | 0.1567          |
| 0.1461        | 6.0   | 1746 | 0.1755          |
| 0.1411        | 7.0   | 2037 | 0.1719          |
| 0.1374        | 8.0   | 2328 | 0.1658          |
| 0.1341        | 9.0   | 2619 | 0.1594          |
| 0.1302        | 10.0  | 2910 | 0.1666          |
| 0.1284        | 11.0  | 3201 | 0.1634          |
| 0.1264        | 12.0  | 3492 | 0.1588          |
| 0.1238        | 13.0  | 3783 | 0.1690          |
| 0.1237        | 14.0  | 4074 | 0.1558          |
| 0.1218        | 15.0  | 4365 | 0.1523          |
| 0.1213        | 16.0  | 4656 | 0.1675          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.0
- Tokenizers 0.13.3