---
library_name: transformers
license: other
base_model: Qwen/Qwen3-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Qwen3-no-feedback
  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. -->

# Qwen3-no-feedback

This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0647

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 7
- total_train_batch_size: 14
- total_eval_batch_size: 14
- optimizer: Use OptimizerNames.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: 0.05
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0813        | 0.2120 | 1000 | 0.0781          |
| 0.0717        | 0.4240 | 2000 | 0.0712          |
| 0.0664        | 0.6360 | 3000 | 0.0669          |
| 0.0659        | 0.8480 | 4000 | 0.0651          |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
