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SFT-Compo-Distill-Qwen-1.5B – AI Model by LoRe-Team | AlphaNeural AI
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SFT-Compo-Distill-Qwen-1.5B
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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text-generation-inference
endpoints_compatible
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SFT-Compo-Distill-Qwen-1.5B
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
on the deepscaler-14b-min 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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
num_epochs: 5.0
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
