Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
whisper-large-v2-lora-afrispeech
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6866
- Wer: 55.7690
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: 1e-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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.7143 | 0.2 | 1000 | 0.8360 | 58.9001 |
| 1.5849 | 0.4 | 2000 | 0.7304 | 58.1634 |
| 1.4778 | 0.6 | 3000 | 0.7026 | 54.3481 |
| 1.3557 | 0.8 | 4000 | 0.6906 | 52.4010 |
| 1.6061 | 1.0 | 5000 | 0.6866 | 55.7690 |
Framework versions
- PEFT 0.18.2.dev0
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
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Base model
openai/whisper-large-v2