---
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: 1.2256

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0959        | 1.0   | 291  | 1.6893          |
| 1.6328        | 2.0   | 582  | 1.5211          |
| 1.4969        | 3.0   | 873  | 1.3475          |
| 1.3972        | 4.0   | 1164 | 1.3374          |
| 1.3331        | 5.0   | 1455 | 1.2506          |
| 1.283         | 6.0   | 1746 | 1.3699          |
| 1.2326        | 7.0   | 2037 | 1.2969          |
| 1.2025        | 8.0   | 2328 | 1.3562          |
| 1.1665        | 9.0   | 2619 | 1.2218          |
| 1.1402        | 10.0  | 2910 | 1.1799          |
| 1.1265        | 11.0  | 3201 | 1.1268          |
| 1.1111        | 12.0  | 3492 | 1.1815          |
| 1.089         | 13.0  | 3783 | 1.2181          |
| 1.0756        | 14.0  | 4074 | 1.2133          |
| 1.0714        | 15.0  | 4365 | 1.2337          |
| 1.0641        | 16.0  | 4656 | 1.2256          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2