Qwen2-Luganda-ASR
This model is a fine-tuned version of Qwen/Qwen2-Audio-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0822
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
- gradient_accumulation_steps: 2
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.599 | 1.1972 | 85 | 1.3491 |
| 1.1634 | 2.3944 | 170 | 1.0822 |
Framework versions
- PEFT 0.17.1
- Transformers 4.49.0
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.21.4
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Model tree for KasuleTrevor/Qwen2-Luganda-ASR
Base model
Qwen/Qwen2-Audio-7B-Instruct