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MegaTronX_-_DragonAI-Python-SmolLM2-1.7B-Instruct-awq – AI Model by RichardErkhov | AlphaNeural AI
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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: []
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
