---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-pp-1000-1e-06-8
  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-pp-1000-1e-06-8

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6942

## 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: 1e-06
- train_batch_size: 32
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 32   | 0.7053          |
| No log        | 2.0   | 64   | 0.7014          |
| No log        | 3.0   | 96   | 0.6994          |
| No log        | 4.0   | 128  | 0.6983          |
| No log        | 5.0   | 160  | 0.6972          |
| No log        | 6.0   | 192  | 0.6967          |
| 0.6995        | 7.0   | 224  | 0.6959          |
| 0.6995        | 8.0   | 256  | 0.6955          |
| 0.6995        | 9.0   | 288  | 0.6953          |
| 0.6995        | 10.0  | 320  | 0.6951          |
| 0.6995        | 11.0  | 352  | 0.6949          |
| 0.6995        | 12.0  | 384  | 0.6948          |
| 0.69          | 13.0  | 416  | 0.6946          |
| 0.69          | 14.0  | 448  | 0.6945          |
| 0.69          | 15.0  | 480  | 0.6945          |
| 0.69          | 16.0  | 512  | 0.6944          |
| 0.69          | 17.0  | 544  | 0.6943          |
| 0.69          | 18.0  | 576  | 0.6942          |
| 0.6839        | 19.0  | 608  | 0.6943          |
| 0.6839        | 20.0  | 640  | 0.6943          |
| 0.6839        | 21.0  | 672  | 0.6943          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1