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sft_qwen32b – AI Model by yuzhounie | AlphaNeural AI
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sft_qwen32b
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-Coder-32B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
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Qwen2-5-Coder-32B-sft-3000-agent-diverse-real-5ep-5e-6
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-32B-Instruct
on the tb3000_agent_diverse_real 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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.8.0a0+gitd06a406
Datasets 4.0.0
Tokenizers 0.21.4
