---
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: []
---

<!-- 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. -->

# Extractor_Adaptor_Qwen3_QA_zero

This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/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