---
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: 1.1691

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1115        | 1.0   | 291  | 1.6930          |
| 1.6354        | 2.0   | 582  | 1.3670          |
| 1.4808        | 3.0   | 873  | 1.4257          |
| 1.393         | 4.0   | 1164 | 1.4305          |
| 1.3415        | 5.0   | 1455 | 1.2622          |
| 1.2873        | 6.0   | 1746 | 1.3074          |
| 1.2302        | 7.0   | 2037 | 1.2133          |
| 1.2132        | 8.0   | 2328 | 1.2650          |
| 1.1793        | 9.0   | 2619 | 1.2654          |
| 1.148         | 10.0  | 2910 | 1.2179          |
| 1.127         | 11.0  | 3201 | 1.2638          |
| 1.0989        | 12.0  | 3492 | 1.1541          |
| 1.0961        | 13.0  | 3783 | 1.1539          |
| 1.0793        | 14.0  | 4074 | 1.0733          |
| 1.066         | 15.0  | 4365 | 1.2453          |
| 1.0672        | 16.0  | 4656 | 1.1691          |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1