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qwen_model_testing – AI Model by sravanthib | AlphaNeural AI
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qwen_model_testing
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peft
safetensors
adapter
lora
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text-generation
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deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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qwen_model_testing
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
on an unknown 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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 10
total_train_batch_size: 160
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: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 10
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.1
Pytorch 2.7.1+cu126
Datasets 2.15.0
Tokenizers 0.21.2
