---
license: cc-by-4.0
base_model: hung200504/bert-21
tags:
- generated_from_trainer
model-index:
- name: bert-31
  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-31

This model is a fine-tuned version of [hung200504/bert-21](https://huggingface.co/hung200504/bert-21) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.6564

## 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: 3e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.8389       | 0.09  | 5    | 11.6872         |
| 10.6506       | 0.18  | 10   | 11.3129         |
| 9.9367        | 0.27  | 15   | 10.9748         |
| 9.7504        | 0.36  | 20   | 10.6767         |
| 9.4789        | 0.45  | 25   | 10.4164         |
| 9.3145        | 0.55  | 30   | 10.1941         |
| 8.4653        | 0.64  | 35   | 10.0120         |
| 8.9579        | 0.73  | 40   | 9.8679          |
| 8.3746        | 0.82  | 45   | 9.7613          |
| 8.3205        | 0.91  | 50   | 9.6904          |
| 8.0754        | 1.0   | 55   | 9.6564          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1