README.md

metadata

license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
  - generated_from_trainer
datasets:
  - vietnamese_students_feedback
metrics:
  - accuracy
model-index:
  - name: bert-base-multilingual-uncased-vietnamese_sentiment_analysis
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: vietnamese_students_feedback
          type: vietnamese_students_feedback
          config: default
          split: validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9279848389134555

bert-base-multilingual-uncased-vietnamese_sentiment_analysis

This model is a fine-tuned version of bert-base-multilingual-uncased on the vietnamese_students_feedback dataset. It achieves the following results on the evaluation set:

• Loss: 0.2852
• Accuracy: 0.9280

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4054	1.0	715	0.2864	0.9154
0.2643	2.0	1430	0.2852	0.9280

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3