Whisper Small Malayalam

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-small-malayalam 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. --> # whisper-small-malayalam This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0101 - Wer: 14.0252 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - 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: 4000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:-------:| | 0.0251 | 1.9841 | 1000 | 0.0128 | 17.2539 | | 0.0118 | 3.9683 | 2000 | 0.0096 | 15.1241 | | 0.0012 | 5.9524 | 3000 | 0.0099 | 14.4556 | | 0.0001 | 7.9365 | 4000 | 0.0101 | 14.0252 | ### Framework versions - Transformers 5.13.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 7 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shisheer/whisper-small-malayalam

Source context: 77 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo shisheer/whisper-small-malayalam