---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2-Audio-7B-Instruct
tags:
- generated_from_trainer
model-index:
- name: Qwen-RAVDESS-Emotional-Analysis
  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. -->

# Qwen-RAVDESS-Emotional-Analysis

This model is a fine-tuned version of [Qwen/Qwen2-Audio-7B-Instruct](https://huggingface.co./Qwen/Qwen2-Audio-7B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0852

## 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: 24
- eval_batch_size: 24
- seed: 42
- 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: constant
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.7491        | 0.0476 | 2    | 3.6261          |
| 2.8532        | 0.0952 | 4    | 1.2801          |
| 1.0146        | 0.1429 | 6    | 0.8481          |
| 0.8266        | 0.1905 | 8    | 0.5289          |
| 0.3213        | 0.2381 | 10   | 0.2054          |
| 0.224         | 0.2857 | 12   | 0.1256          |
| 0.104         | 0.3333 | 14   | 0.0932          |
| 0.1328        | 0.3810 | 16   | 0.0805          |
| 0.0972        | 0.4286 | 18   | 0.0977          |
| 0.109         | 0.4762 | 20   | 0.0852          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0