---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# outputs

This model is a fine-tuned version of [unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit](https://huggingface.co/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