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cfm – AI Model by SII-yuning | AlphaNeural AI
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SII-yuning
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cfm
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
other
text-generation-inference
endpoints_compatible
us
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Model description
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Intended uses & limitations
More information needed
Training and evaluation data
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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: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Use 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_ratio: 0.1
num_epochs:1
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
