This model is a fine-tuned version of openai/whisper-large-v2 on the facebook/multilingual_librispeech german dataset.
It achieves the following results on the evaluation set:
Loss: 0.1370
Wer: 6.0483
Model description
The model is fine-tuned for 4000 updates/steps on multilingual librispeech German train data.
Zero-shot - 5.5 (MLS German test)
Fine-tune MLS German train - 6.04 (MLS German test)
Even after fine-tuning the model is doing slightly worse than the zero-shot.
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: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
