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honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-awq – AI Model by RichardErkhov | AlphaNeural AI
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honghak_-_Qwen2.5-0.5B-Instruct-SFT-0.2-awq
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Qwen2.5-0.5B-Instruct-SFT-0.2 - AWQ
Model creator:
https://huggingface.co/honghak/
Original model:
https://huggingface.co/honghak/Qwen2.5-0.5B-Instruct-SFT-0.2/
Original model description:
library_name: transformers license: apache-2.0 base_model: Qwen/Qwen2.5-0.5B-Instruct tags:
trl
sft
generated_from_trainer model-index:
name: Qwen2.5-0.5B-Instruct-SFT-0.2 results: []
Qwen2.5-0.5B-Instruct-SFT-0.2
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on an unknown 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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 30
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.0