Whisper Small SIT 18 07 26 0551

--- library_name: transformers license: mit base_model: Pengwin30/whisper-small-fine-tuned tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-small-SIT_18_07_26_0551 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-SIT_18_07_26_0551 This model is a fine-tuned version of [Pengwin30/whisper-small-fine-tuned](https://huggingface.co/Pengwin30/whisper-small-fine-tuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0578 - Wer: 3.5785 ## 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: 64 - eval_batch_size: 16 - seed: 42 - 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: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.5763 | 1.0 | 87 | 0.0697 | 3.9099 | | 0.0529 | 2.0 | 174 | 0.0568 | 4.0424 | | 0.0202 | 3.0 | 261 | 0.0596 | 3.4460 | | 0.0073 | 4.0 | 348 | 0.0575 | 3.7773 | | 0.0037 | 5.0 | 435 | 0.0578 | 3.5785 | ### Framework versions - Transformers 5.13.1 - Pytorch 2.11.0+cu128 - Datasets 2.19.0 - Tokenizers 0.22.2

Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo horhh/whisper-small-SIT_18_07_26_0551

Source context: 24 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo horhh/whisper-small-SIT_18_07_26_0551