metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Extractor_Adaptor_Qwen3_QA_zero
results: []
Extractor_Adaptor_Qwen3_QA_zero
This model is a fine-tuned version of Qwen/Qwen3-0.6B on the web_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.6387
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- 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: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7459 | 0.1264 | 50 | 0.7653 |
| 0.6676 | 0.2528 | 100 | 0.7142 |
| 0.7094 | 0.3791 | 150 | 0.6856 |
| 0.6612 | 0.5055 | 200 | 0.6661 |
| 0.6349 | 0.6319 | 250 | 0.6527 |
| 0.6486 | 0.7583 | 300 | 0.6433 |
| 0.617 | 0.8847 | 350 | 0.6387 |
Framework versions
- PEFT 0.15.2
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1