83 lines
2.3 KiB
Markdown
83 lines
2.3 KiB
Markdown
|
---
|
||
|
|
library_name: transformers
|
||
|
|
license: other
|
||
|
|
base_model: Qwen/Qwen3-4B
|
||
|
|
tags:
|
||
|
|
- llama-factory
|
||
|
|
- full
|
||
|
|
- generated_from_trainer
|
||
|
|
model-index:
|
||
|
|
- name: sft_base
|
||
|
|
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_base
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the sunny_reasoning dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 0.0087
|
||
|
|
|
||
|
|
## 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: 1
|
||
|
|
- eval_batch_size: 1
|
||
|
|
- seed: 42
|
||
|
|
- distributed_type: multi-GPU
|
||
|
|
- num_devices: 2
|
||
|
|
- gradient_accumulation_steps: 16
|
||
|
|
- total_train_batch_size: 32
|
||
|
|
- total_eval_batch_size: 2
|
||
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||
|
|
- lr_scheduler_type: cosine
|
||
|
|
- lr_scheduler_warmup_ratio: 0.1
|
||
|
|
- num_epochs: 3.0
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
||
|
|
|:-------------:|:------:|:----:|:---------------:|
|
||
|
|
| 0.0056 | 0.1698 | 92 | 0.0098 |
|
||
|
|
| 0.0115 | 0.3397 | 184 | 0.0107 |
|
||
|
|
| 0.015 | 0.5095 | 276 | 0.0094 |
|
||
|
|
| 0.0082 | 0.6794 | 368 | 0.0104 |
|
||
|
|
| 0.0094 | 0.8492 | 460 | 0.0095 |
|
||
|
|
| 0.0038 | 1.0185 | 552 | 0.0086 |
|
||
|
|
| 0.0029 | 1.1883 | 644 | 0.0095 |
|
||
|
|
| 0.01 | 1.3581 | 736 | 0.0082 |
|
||
|
|
| 0.0019 | 1.5280 | 828 | 0.0081 |
|
||
|
|
| 0.0045 | 1.6978 | 920 | 0.0080 |
|
||
|
|
| 0.0091 | 1.8677 | 1012 | 0.0077 |
|
||
|
|
| 0.0057 | 2.0369 | 1104 | 0.0081 |
|
||
|
|
| 0.0006 | 2.2068 | 1196 | 0.0086 |
|
||
|
|
| 0.0075 | 2.3766 | 1288 | 0.0088 |
|
||
|
|
| 0.0065 | 2.5464 | 1380 | 0.0087 |
|
||
|
|
| 0.0084 | 2.7163 | 1472 | 0.0087 |
|
||
|
|
| 0.0027 | 2.8861 | 1564 | 0.0087 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.56.2
|
||
|
|
- Pytorch 2.11.0+cu128
|
||
|
|
- Datasets 3.0.0
|
||
|
|
- Tokenizers 0.22.2
|