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Light-R1 – AI Model by Lingyue1 | AlphaNeural AI
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Lingyue1
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Light-R1
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transformers
tensorboard
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Light-R1
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
on the light_r1_3k 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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 10.0
Training results
Framework versions
Transformers 4.45.2
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3