| Whisper Md Ca - 1k | |
| This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: | |
| Loss: 0.2554 | |
| Wer: 10.9688 | |
| 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: 8 | |
| seed: 42 | |
| gradient_accumulation_steps: 2 | |
| total_train_batch_size: 64 | |
| optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| lr_scheduler_type: linear | |
| lr_scheduler_warmup_steps: 100 | |
| training_steps: 1000 | |
| mixed_precision_training: Native AMP | |
| Training results | |
| Training Loss Epoch Step Validation Loss Wer | |
| 0.2554 1.0 1000 0.2554 10.9688 | |
| Framework versions | |
| Transformers 4.26.0.dev0 | |
| Pytorch 1.13.1+cu117 | |
| Datasets 2.7.1.dev0 | |
| Tokenizers 0.13.2 |