---
license: cc-by-4.0
base_model: hung200504/bert-24.1
tags:
- generated_from_trainer
model-index:
- name: bert-24.2
  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-24.2

This model is a fine-tuned version of [hung200504/bert-24.1](https://huggingface.co/hung200504/bert-24.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.4596

## 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-07
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.5094       | 0.09  | 5    | 11.5096         |
| 10.6572       | 0.18  | 10   | 11.5053         |
| 10.3097       | 0.27  | 15   | 11.5006         |
| 10.4711       | 0.36  | 20   | 11.4964         |
| 10.505        | 0.45  | 25   | 11.4927         |
| 10.5575       | 0.55  | 30   | 11.4890         |
| 9.9085        | 0.64  | 35   | 11.4854         |
| 10.5509       | 0.73  | 40   | 11.4820         |
| 10.1511       | 0.82  | 45   | 11.4788         |
| 10.0779       | 0.91  | 50   | 11.4760         |
| 9.8849        | 1.0   | 55   | 11.4735         |
| 10.1105       | 1.09  | 60   | 11.4713         |
| 10.2491       | 1.18  | 65   | 11.4692         |
| 10.4967       | 1.27  | 70   | 11.4671         |
| 10.0624       | 1.36  | 75   | 11.4654         |
| 10.5219       | 1.45  | 80   | 11.4642         |
| 10.2786       | 1.55  | 85   | 11.4627         |
| 10.2518       | 1.64  | 90   | 11.4618         |
| 10.1067       | 1.73  | 95   | 11.4609         |
| 10.36         | 1.82  | 100  | 11.4603         |
| 9.9273        | 1.91  | 105  | 11.4598         |
| 10.2964       | 2.0   | 110  | 11.4596         |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1