Whisper Medium Pashto
This model is a fine-tuned version of openai/whisper-medium on the google/fleurs ps_af dataset. It achieves the following results on the evaluation set:
- Loss: 1.2950
- Wer: 50.6432
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
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0139 | 14.29 | 100 | 1.0302 | 50.1211 |
| 0.0011 | 28.57 | 200 | 1.2129 | 49.7806 |
| 0.0008 | 42.86 | 300 | 1.2581 | 50.3178 |
| 0.0007 | 57.14 | 400 | 1.2850 | 50.5524 |
| 0.0007 | 71.43 | 500 | 1.2950 | 50.6432 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train ihanif/whisper-medium-ps
Evaluation results
- Wer on google/fleurs ps_aftest set self-reported50.643