|
--- |
|
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 |
