---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- generated_from_trainer
model-index:
- name: auv-codec-librispeech
  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. -->

# auv-codec-librispeech

This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.9699

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 11.9929       | 1.0   | 35156  | 11.9689         |
| 11.992        | 2.0   | 70312  | 11.9734         |
| 11.9116       | 3.0   | 105468 | 11.9699         |


### Framework versions

- PEFT 0.15.0
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0