MegaTronX_-_DragonAI-Python-SmolLM2-1.7B-Instruct-awq

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DragonAI-Python-SmolLM2-1.7B-Instruct - AWQ

• Model creator: https://huggingface.co/MegaTronX/
• Original model: https://huggingface.co/MegaTronX/DragonAI-Python-SmolLM2-1.7B-Instruct/

Original model description:

library_name: transformers license: apache-2.0 base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct tags:

• generated_from_trainer model-index:
• name: DragonAI-Python-SmolLM2-1.7B-Instruct results: []

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DragonAI-Python-SmolLM2-1.7B-Instruct

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on the None dataset.

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.46.2
• Pytorch 2.2.2+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3