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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen2-Audio-7B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Qwen2-RUNY-Intent |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Qwen2-RUNY-Intent |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0143 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1086 | 0.2 | 281 | 0.0233 | |
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| 0.0283 | 0.4 | 562 | 0.0265 | |
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| 0.0317 | 0.6 | 843 | 0.0176 | |
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| 0.0333 | 0.8 | 1124 | 0.0184 | |
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| 0.0186 | 1.0 | 1405 | 0.0143 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.53.0.dev0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
