openai/whisper-small-Assamese
This model is a fine-tuned version of kpriyanshu256/whisper-small-as-500-64-1e-05-bn on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5071
- Wer: 32.0159
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: 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
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0658 | 8.01 | 100 | 0.3295 | 31.9978 |
| 0.0027 | 16.02 | 200 | 0.4516 | 31.8896 |
| 0.0005 | 24.02 | 300 | 0.4881 | 31.9256 |
| 0.0003 | 33.01 | 400 | 0.5026 | 31.9437 |
| 0.0003 | 41.02 | 500 | 0.5071 | 32.0159 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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