---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-vietnamese-case
  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. -->

# distilbert-base-vietnamese-case

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1978

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.6995        | 1.0   | 313  | 5.7838          |
| 5.7246        | 2.0   | 626  | 5.5341          |
| 5.4565        | 3.0   | 939  | 5.3280          |
| 5.271         | 4.0   | 1252 | 5.1409          |
| 5.0514        | 5.0   | 1565 | 4.9143          |
| 4.874         | 6.0   | 1878 | 4.7130          |
| 4.7083        | 7.0   | 2191 | 4.5682          |
| 4.5677        | 8.0   | 2504 | 4.3724          |
| 4.4244        | 9.0   | 2817 | 4.3262          |
| 4.3013        | 10.0  | 3130 | 4.1231          |
| 4.2077        | 11.0  | 3443 | 4.1388          |
| 4.1103        | 12.0  | 3756 | 3.8696          |
| 4.0141        | 13.0  | 4069 | 3.8849          |
| 3.9435        | 14.0  | 4382 | 3.7311          |
| 3.8604        | 15.0  | 4695 | 3.7155          |
| 3.804         | 16.0  | 5008 | 3.6445          |
| 3.7076        | 17.0  | 5321 | 3.5784          |
| 3.6807        | 18.0  | 5634 | 3.5516          |
| 3.6239        | 19.0  | 5947 | 3.4008          |
| 3.5729        | 20.0  | 6260 | 3.4827          |
| 3.5308        | 21.0  | 6573 | 3.3921          |
| 3.4707        | 22.0  | 6886 | 3.3729          |
| 3.4341        | 23.0  | 7199 | 3.3543          |
| 3.3989        | 24.0  | 7512 | 3.2836          |
| 3.3505        | 25.0  | 7825 | 3.3003          |
| 3.3256        | 26.0  | 8138 | 3.1750          |
| 3.2892        | 27.0  | 8451 | 3.1930          |
| 3.2614        | 28.0  | 8764 | 3.2089          |
| 3.2387        | 29.0  | 9077 | 3.1978          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3