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DeepSeek-R1-Distill-Qwen-1.5B-Math-Expert – AI Model by satwikshirsat04 | AlphaNeural AI
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DeepSeek-R1-Distill-Qwen-1.5B-Math-Expert
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DeepSeek-R1-Distill-Qwen-1.5B-Math-Expert
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1893
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.824
1.0
500
1.2003
0.8256
2.0
1000
1.1736
0.7483
3.0
1500
1.1893
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0