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qwen2.5-coder-32b-instruct-ju-sft – AI Model by yufanhuang | AlphaNeural AI
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qwen2.5-coder-32b-instruct-ju-sft
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-Coder-32B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-32B-Instruct
on the java_upgrade_hf 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
total_train_batch_size: 32
total_eval_batch_size: 256
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: cosine
num_epochs: 3.0
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
