---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-pp-10000-1e-06-16
  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-10000-1e-06-16

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: 0.6838

## 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: 64
- 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   | 157  | 0.6951          |
| 0.6985        | 2.0   | 314  | 0.6920          |
| 0.694         | 3.0   | 471  | 0.6903          |
| 0.6913        | 4.0   | 628  | 0.6878          |
| 0.6913        | 5.0   | 785  | 0.6861          |
| 0.6866        | 6.0   | 942  | 0.6849          |
| 0.6842        | 7.0   | 1099 | 0.6845          |
| 0.6814        | 8.0   | 1256 | 0.6841          |
| 0.6779        | 9.0   | 1413 | 0.6839          |
| 0.6779        | 10.0  | 1570 | 0.6838          |
| 0.6723        | 11.0  | 1727 | 0.6842          |
| 0.6691        | 12.0  | 1884 | 0.6846          |
| 0.6672        | 13.0  | 2041 | 0.6850          |


### Framework versions

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