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Qwen2.5_ft_mc – AI Model by altair123 | AlphaNeural AI
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Qwen2.5_ft_mc
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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saves_mc
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the module_classifier 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
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: 100
num_epochs: 10.0
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0
