outputs/deepseek-R1-distill-llama-8B-openscholar-data-lora-8000-1epoch
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Llama-8B on the OpenSciLM/OS_Train_Data dataset. It achieves the following results on the evaluation set:
- Loss: 0.3808
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- training_steps: 8000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7391 | 0.3814 | 8000 | 0.3808 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Base model
deepseek-ai/DeepSeek-R1-Distill-Llama-8B