---
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_keras_callback
model-index:
- name: textming_proj01_electra
  results: []
language:
- vi
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# textming_proj01_electra

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on [Vietnamese dataset - Kaggle](https://www.kaggle.com/datasets/duyminhnguyentran/csc15105).
It achieves the following results on the evaluation set:
- Train Loss: 0.4494
- Train Accuracy: 0.7976
- Validation Loss: 0.5521
- Validation Accuracy: 0.7456
- Epoch: 5
- Batch size: 32

## Model description
This model is fine-tuned by 19120600@student.hcmus.edu.vn in [Kaggle](https://www.kaggle.com/code/nguynnghabi/training-electra)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'epsilon': 1e-08}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.5951     | 0.6936         | 0.5818          | 0.6966              | 1     |
| 0.5484     | 0.7291         | 0.5681          | 0.7054              | 2     |
| 0.5119     | 0.7543         | 0.5284          | 0.7423              | 3     |
| 0.4769     | 0.7800         | 0.5306          | 0.7432              | 4     |
| 0.4494     | 0.7976         | 0.5521          | 0.7456              | 5     |


### Framework versions

- Transformers 4.39.3
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2