metadata

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

phobert-large-finetuned-vietnamese_students_feedback

This model is a fine-tuned version of 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