Whisper Small Finetuned Iwslt Irish No Frozen Decoder

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer - bleu model-index: - name: whisper-small-finetuned-iwslt-irish-no-frozen-decoder 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-finetuned-iwslt-irish-no-frozen-decoder This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 6.4202 - Wer: 103.9664 - Bleu: 0.7147 - Chrf++: 12.6295 - Comet: 0.4187 ## 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: 5e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.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: 1000 - training_steps: 5000 - mixed_precision_training: Native AMP - label_smoothing_factor: 0.1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet | |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:-------:|:------:| | 1.7298 | 2.6709 | 1250 | 5.2277 | 102.9364 | 0.8439 | 12.8227 | 0.4084 | | 1.5009 | 5.3419 | 2500 | 5.7399 | 103.3068 | 0.7813 | 12.9351 | 0.4124 | | 1.4607 | 8.0128 | 3750 | 6.0951 | 103.4695 | 0.6868 | 12.5395 | 0.4161 | | 1.422 | 10.6838 | 5000 | 6.4202 | 103.9664 | 0.7147 | 12.6295 | 0.4187 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4