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Qwen3.5-4B-cpt – AI Model by ben072292 | AlphaNeural AI
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Qwen3.5-4B-cpt
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transformers
safetensors
qwen3_5
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
other
endpoints_compatible
us
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cpt_qwen3_4b_stripped_tooltrace
This model is a fine-tuned version of
Qwen/Qwen3.5-4B
on the smtlib_qwen3_stripped_cpt_train 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: 3e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_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: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 2.0
Training results
Framework versions
Transformers 5.6.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.22.2
