metadata
library_name: peft
license: mit
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: DeepSeek-R1-Distill-Llama-8B-Summarization-QLoRa
results: []
pipeline_tag: summarization
DeepSeek-R1-Distill-Llama-8B-Summarization-QLoRa
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Llama-8B on the scitldr dataset. It achieves the following results on the evaluation set:
- Loss: 2.5393
Model description
DeepSeek-R1-Distill-Llama-8B fine-tuned for summarization of scientific documents
Intended uses & limitations
Summarization
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.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.459 | 0.2209 | 220 | 2.4903 |
| 2.3971 | 0.4418 | 440 | 2.4720 |
| 2.3821 | 0.6627 | 660 | 2.4550 |
| 2.3665 | 0.8835 | 880 | 2.4392 |
| 2.3582 | 1.1044 | 1100 | 2.5203 |
| 1.7824 | 1.3253 | 1320 | 2.5360 |
| 1.7599 | 1.5462 | 1540 | 2.5486 |
| 1.7352 | 1.7671 | 1760 | 2.5404 |
| 1.7088 | 1.9880 | 1980 | 2.5393 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0