Whisper Medium Ht - TranslateLive
This model is a fine-tuned version of openai/whisper-medium on the Carnegie Mellon University - Haitian Creole dataset. It achieves the following results on the evaluation set:
- Loss: 0.7836
- Wer: 19.0404
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0571 | 3.4483 | 1000 | 0.5976 | 21.8190 |
| 0.0037 | 6.8966 | 2000 | 0.7251 | 19.5136 |
| 0.0003 | 10.3448 | 3000 | 0.7623 | 19.4807 |
| 0.0005 | 13.7931 | 4000 | 0.7836 | 19.0404 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for phatjmo/whisper-medium-hat
Base model
openai/whisper-mediumEvaluation results
- Wer on Carnegie Mellon University - Haitian Creoleself-reported19.040