---
license: apache-2.0
base_model: bert-base-uncased
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
should probably proofread and complete it, then remove this comment. -->

# 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: 6.5337

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1064        | 1.0   | 291  | 1.6942          |
| 1.6327        | 2.0   | 582  | 1.3707          |
| 1.4819        | 3.0   | 873  | 1.4033          |
| 1.3965        | 4.0   | 1164 | 1.4341          |
| 4.5167        | 5.0   | 1455 | 6.2129          |
| 6.1184        | 6.0   | 1746 | 6.2606          |
| 5.9894        | 7.0   | 2037 | 6.2949          |
| 5.9044        | 8.0   | 2328 | 6.3017          |
| 5.8635        | 9.0   | 2619 | 6.3110          |
| 5.8388        | 10.0  | 2910 | 6.4275          |
| 5.793         | 11.0  | 3201 | 6.3408          |
| 5.7428        | 12.0  | 3492 | 6.4123          |
| 5.7203        | 13.0  | 3783 | 6.4774          |
| 5.7021        | 14.0  | 4074 | 6.4178          |
| 5.6754        | 15.0  | 4365 | 6.5968          |
| 5.6586        | 16.0  | 4656 | 6.5337          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3