metadata
library_name: transformers
license: other
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft_direct
results: []
sft_direct
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on the scope_sft_direct dataset. It achieves the following results on the evaluation set:
- Loss: 0.3041
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch 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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3289 | 0.0747 | 500 | 0.3394 |
| 0.3445 | 0.1494 | 1000 | 0.3315 |
| 0.3383 | 0.2241 | 1500 | 0.3268 |
| 0.3352 | 0.2987 | 2000 | 0.3224 |
| 0.3027 | 0.3734 | 2500 | 0.3197 |
| 0.3272 | 0.4481 | 3000 | 0.3166 |
| 0.3216 | 0.5228 | 3500 | 0.3138 |
| 0.3223 | 0.5975 | 4000 | 0.3108 |
| 0.3346 | 0.6722 | 4500 | 0.3076 |
| 0.3098 | 0.7468 | 5000 | 0.3065 |
| 0.2938 | 0.8215 | 5500 | 0.3059 |
| 0.315 | 0.8962 | 6000 | 0.3046 |
| 0.301 | 0.9709 | 6500 | 0.3040 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1