---
license: mit
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
tags:
- trl
- sft
- generated_from_trainer
library_name: peft
model-index:
- name: sft-lora-next-v3
  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. -->

# sft-lora-next-v3

This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2299

## 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: 0.000125
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 5
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6717        | 0.05  | 24   | 0.5240          |
| 0.4498        | 0.1   | 48   | 0.3601          |
| 0.3297        | 0.15  | 72   | 0.3050          |
| 0.2929        | 0.19  | 96   | 0.2762          |
| 0.275         | 0.24  | 120  | 0.2657          |
| 0.2194        | 0.29  | 144  | 0.2583          |
| 0.2564        | 0.34  | 168  | 0.2538          |
| 0.2645        | 0.39  | 192  | 0.2483          |
| 0.2489        | 0.44  | 216  | 0.2460          |
| 0.2486        | 0.49  | 240  | 0.2436          |
| 0.234         | 0.53  | 264  | 0.2410          |
| 0.2741        | 0.58  | 288  | 0.2388          |
| 0.2311        | 0.63  | 312  | 0.2371          |
| 0.2119        | 0.68  | 336  | 0.2359          |
| 0.2464        | 0.73  | 360  | 0.2344          |
| 0.2384        | 0.78  | 384  | 0.2332          |
| 0.2399        | 0.83  | 408  | 0.2319          |
| 0.2384        | 0.87  | 432  | 0.2310          |
| 0.2418        | 0.92  | 456  | 0.2303          |
| 0.2189        | 0.97  | 480  | 0.2299          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.0
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2