README.md

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