negative neutral positive
---
tags:
- generated_from_trainer
datasets:
- vietnamese_students_feedback
metrics:
- accuracy
model-index:
- name: phobert-large-finetuned-vietnamese_students_feedback
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: vietnamese_students_feedback
      type: vietnamese_students_feedback
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9463044851547694
---

<!-- 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. -->

# phobert-large-finetuned-vietnamese_students_feedback

This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on the vietnamese_students_feedback dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2285
- Accuracy: 0.9463

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 477  | 0.2088          | 0.9375   |
| 0.3231        | 2.0   | 954  | 0.2463          | 0.9444   |
| 0.1805        | 3.0   | 1431 | 0.2285          | 0.9463   |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3
