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whisper-tiny-fluers_V2_telugu_Augmentation_bf16
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5041
- Wer: 60.0
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: 1.5e-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: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0846 | 2.72 | 300 | 0.3169 | 83.05 |
| 0.065 | 5.44 | 600 | 0.3526 | 68.65 |
| 0.0379 | 8.15 | 900 | 0.3954 | 65.75 |
| 0.0253 | 10.9 | 1200 | 0.4391 | 62.9500 |
| 0.0147 | 13.62 | 1500 | 0.4715 | 59.0500 |
| 0.0094 | 16.35 | 1800 | 0.5041 | 60.0 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3
