metadata
language:
- vi
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- vietnamese_students_feedback
pipeline_tag: text-classification
base_model: bert-base-uncased
model-index:
- name: bert-base-vi
results: []
bert-base-vi
This model is a fine-tuned version of bert-base-uncased on the vietnamese_students_feedback dataset.
Intended uses & limitations
This model is used for classifying the semantic of student's feedback on teachers, lectures,...
It's used on Vietnamese language only.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2