README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - MBZUAI/Bactrian-X
metrics:
  - accuracy
model-index:
  - name: Mistral-Indo
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: MBZUAI/Bactrian-X id
          type: MBZUAI/Bactrian-X
          args: id
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.2462286333254075

Mistral-Indo

This model was trained from scratch on the MBZUAI/Bactrian-X id dataset. It achieves the following results on the evaluation set:

• Loss: 5.4269
• Accuracy: 0.2462

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20.0

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.1