| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen2-Audio-7B-Instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Qwen2-RUNY-Intent |
| 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. --> |
|
|
| # Qwen2-RUNY-Intent |
|
|
| 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: 0.0143 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1086 | 0.2 | 281 | 0.0233 | |
| | 0.0283 | 0.4 | 562 | 0.0265 | |
| | 0.0317 | 0.6 | 843 | 0.0176 | |
| | 0.0333 | 0.8 | 1124 | 0.0184 | |
| | 0.0186 | 1.0 | 1405 | 0.0143 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.53.0.dev0 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
