alibrcn/llama8b-netlist-lora
08
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llama8b-netlist-lora
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Llama-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7873
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
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 100
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.16.0
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
