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Qwen-Qwen2.5-Coder-32B-Instruct_playpen_SFT_DFINAL_qwen-coder – AI Model by clembench-playpen | AlphaNeural AI
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clembench-playpen
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Qwen-Qwen2.5-Coder-32B-Instruct_playpen_SFT_DFINAL_qwen-coder
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
apache-2.0
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Qwen-Qwen2.5-Coder-32B-Instruct_playpen_SFT_DFINAL_qwen-coder
This model is a fine-tuned version of
unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 7331
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 5
num_epochs: 1
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.21.0
