Whisper Welsh v2

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer model-index: - name: whisper-welsh-v2 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-welsh-v2 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. ## 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: 32 - 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: linear - lr_scheduler_warmup_steps: 500 - training_steps: 4000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 5.8.0 - Pytorch 2.10.0+cu128 - Datasets 4.8.5 - Tokenizers 0.22.2

Source context: 13 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo Goutam261/whisper-welsh-v2

Source context: 73 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo Goutam261/whisper-welsh-v2