---
base_model: hung200504/test-bert-2
tags:
- generated_from_trainer
model-index:
- name: test-bert-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test-bert-3

This model is a fine-tuned version of [hung200504/test-bert-2](https://huggingface.co/hung200504/test-bert-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.6031

## 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-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.6386       | 0.09  | 5    | 11.9162         |
| 10.5413       | 0.18  | 10   | 11.8580         |
| 10.0927       | 0.27  | 15   | 11.8059         |
| 10.4313       | 0.36  | 20   | 11.7598         |
| 10.3152       | 0.45  | 25   | 11.7196         |
| 10.4342       | 0.55  | 30   | 11.6852         |
| 9.8252        | 0.64  | 35   | 11.6565         |
| 9.7464        | 0.73  | 40   | 11.6349         |
| 10.1302       | 0.82  | 45   | 11.6187         |
| 9.95          | 0.91  | 50   | 11.6080         |
| 10.2359       | 1.0   | 55   | 11.6031         |


### Framework versions

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