• Model creator: https://huggingface.co/nilq/
• Original model: https://huggingface.co/nilq/baby-python-mistral-1L-tiny-lua-ft/

Original model description:

• generated_from_trainer datasets:
• nilq/small-lua-stack metrics:
• accuracy model-index:
• name: baby-python-mistral-1L-tiny-lua-ft results:
  • task: name: Causal Language Modeling type: text-generation dataset: name: nilq/small-lua-stack type: nilq/small-lua-stack metrics:
    • name: Accuracy type: accuracy value: 0.4940860736493237

baby-python-mistral-1L-tiny-lua-ft

• Loss: 2.4518
• Accuracy: 0.4941

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.38.1
• Pytorch 2.2.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2