metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: whisper-medium-english-2-wolof
results: []
whisper-medium-english-2-wolof
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1668
- Bleu: 34.6061
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.9771 | 0.8941 | 2000 | 0.9736 | 22.8506 |
| 0.6832 | 1.7881 | 4000 | 0.8379 | 30.0113 |
| 0.4568 | 2.6822 | 6000 | 0.8083 | 33.4759 |
| 0.2623 | 3.5762 | 8000 | 0.8506 | 33.4723 |
| 0.1608 | 4.4703 | 10000 | 0.9128 | 33.6342 |
| 0.0758 | 5.3643 | 12000 | 0.9808 | 33.7770 |
| 0.0315 | 6.2584 | 14000 | 1.0546 | 34.0842 |
| 0.0133 | 7.1524 | 16000 | 1.1085 | 34.2531 |
| 0.0057 | 8.0465 | 18000 | 1.1455 | 34.5325 |
| 0.0046 | 8.9405 | 20000 | 1.1668 | 34.6061 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1