--- base_model: openai/whisper-large-v2 datasets: - mozilla-foundation/common_voice_11_0 language: - hi library_name: peft license: apache-2.0 tags: - generated_from_trainer model-index: - name: LSP_ASR results: [] --- # LSP_ASR This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: - Loss: 0.1913 ## 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: 0.001 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - optimizer: Use adamw_torch 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: 50 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.2329 | 1.0 | 491 | 0.2707 | | 0.1468 | 2.0 | 982 | 0.2118 | | 0.0747 | 3.0 | 1473 | 0.1913 | ### Framework versions - PEFT 0.13.3.dev0 - Transformers 4.47.0.dev0 - Pytorch 2.4.0 - Datasets 3.0.1 - Tokenizers 0.20.0