---
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: 1.2436

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1037        | 1.0   | 291  | 1.6976          |
| 1.6309        | 2.0   | 582  | 1.5133          |
| 1.4962        | 3.0   | 873  | 1.3515          |
| 1.3944        | 4.0   | 1164 | 1.3300          |
| 1.3308        | 5.0   | 1455 | 1.2333          |
| 1.2835        | 6.0   | 1746 | 1.3543          |
| 1.2308        | 7.0   | 2037 | 1.3045          |
| 1.2023        | 8.0   | 2328 | 1.3405          |
| 1.1662        | 9.0   | 2619 | 1.2236          |
| 1.1389        | 10.0  | 2910 | 1.1759          |
| 1.1279        | 11.0  | 3201 | 1.1468          |
| 1.1096        | 12.0  | 3492 | 1.1844          |
| 1.0896        | 13.0  | 3783 | 1.2305          |
| 1.0762        | 14.0  | 4074 | 1.2072          |
| 1.0721        | 15.0  | 4365 | 1.2287          |
| 1.0638        | 16.0  | 4656 | 1.2436          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1