---
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: 1.1389

## 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: 8
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9863        | 1.0   | 1163  | 1.5917          |
| 1.579         | 2.0   | 2326  | 1.4668          |
| 1.4305        | 3.0   | 3489  | 1.3947          |
| 1.3367        | 4.0   | 4652  | 1.2889          |
| 1.2748        | 5.0   | 5815  | 1.3377          |
| 1.2184        | 6.0   | 6978  | 1.3370          |
| 1.1708        | 7.0   | 8141  | 1.2595          |
| 1.1309        | 8.0   | 9304  | 1.3044          |
| 1.0896        | 9.0   | 10467 | 1.2314          |
| 1.0614        | 10.0  | 11630 | 1.1699          |
| 1.0296        | 11.0  | 12793 | 1.2066          |
| 0.9896        | 12.0  | 13956 | 1.2158          |
| 0.983         | 13.0  | 15119 | 1.1289          |
| 0.9619        | 14.0  | 16282 | 1.1427          |
| 0.9387        | 15.0  | 17445 | 1.0767          |
| 0.9205        | 16.0  | 18608 | 1.1389          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1