---
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: 1.2464

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0986        | 1.0   | 291  | 1.6928          |
| 1.6392        | 2.0   | 582  | 1.4295          |
| 1.4873        | 3.0   | 873  | 1.3904          |
| 1.3995        | 4.0   | 1164 | 1.3811          |
| 1.341         | 5.0   | 1455 | 1.1973          |
| 1.2807        | 6.0   | 1746 | 1.2738          |
| 1.2394        | 7.0   | 2037 | 1.2633          |
| 1.1993        | 8.0   | 2328 | 1.2103          |
| 1.1656        | 9.0   | 2619 | 1.1839          |
| 1.1403        | 10.0  | 2910 | 1.2228          |
| 1.1289        | 11.0  | 3201 | 1.2081          |
| 1.104         | 12.0  | 3492 | 1.1652          |
| 1.0823        | 13.0  | 3783 | 1.2508          |
| 1.0736        | 14.0  | 4074 | 1.1687          |
| 1.0625        | 15.0  | 4365 | 1.1168          |
| 1.0626        | 16.0  | 4656 | 1.2464          |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3