metadata
library_name: peft
license: llama3.1
base_model: unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: outputs
results: []
outputs
This model is a fine-tuned version of unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3463
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9219 | 0.1773 | 50 | 0.6719 |
| 0.529 | 0.3546 | 100 | 0.4809 |
| 0.448 | 0.5319 | 150 | 0.4260 |
| 0.4242 | 0.7092 | 200 | 0.4043 |
| 0.4133 | 0.8865 | 250 | 0.3898 |
| 0.3839 | 1.0638 | 300 | 0.3803 |
| 0.3767 | 1.2411 | 350 | 0.3735 |
| 0.3708 | 1.4184 | 400 | 0.3673 |
| 0.3605 | 1.5957 | 450 | 0.3632 |
| 0.3721 | 1.7730 | 500 | 0.3593 |
| 0.3668 | 1.9504 | 550 | 0.3554 |
| 0.3457 | 2.1277 | 600 | 0.3536 |
| 0.3352 | 2.3050 | 650 | 0.3518 |
| 0.3426 | 2.4823 | 700 | 0.3490 |
| 0.3356 | 2.6596 | 750 | 0.3478 |
| 0.3376 | 2.8369 | 800 | 0.3463 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0