README.md

metadata

license: apache-2.0
base_model: chronopt-research/vietnamese-gpt2-medium
tags:
  - generated_from_trainer
datasets:
  - duongttr/JD-Data-56k-clean
metrics:
  - accuracy
model-index:
  - name: results
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: duongttr/JD-Data-56k-clean
          type: duongttr/JD-Data-56k-clean
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8983410461950713

results

This model is a fine-tuned version of chronopt-research/vietnamese-gpt2-medium on the duongttr/JD-Data-56k-clean dataset. It achieves the following results on the evaluation set:

• Loss: 0.5219
• Accuracy: 0.8983

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1
• Datasets 2.14.4
• Tokenizers 0.13.3