whisper-large-v3-Bengali-Version1
This model is a fine-tuned version of openai/whisper-large-v3 on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.1519
- Wer: 44.5003
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: 3e-06
- train_batch_size: 8
- 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: 1000
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.2412 | 4.8193 | 2000 | 0.2103 | 56.7927 |
0.208 | 9.6386 | 4000 | 0.1844 | 51.9640 |
0.195 | 14.4578 | 6000 | 0.1719 | 49.3167 |
0.194 | 19.2771 | 8000 | 0.1647 | 47.7358 |
0.1762 | 24.0964 | 10000 | 0.1597 | 46.6144 |
0.1763 | 28.9157 | 12000 | 0.1567 | 45.8361 |
0.168 | 33.7349 | 14000 | 0.1544 | 45.1192 |
0.1623 | 38.5542 | 16000 | 0.1530 | 44.8802 |
0.1601 | 43.3735 | 18000 | 0.1521 | 44.7822 |
0.1666 | 48.1928 | 20000 | 0.1519 | 44.5003 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
Inference Providers
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Model tree for KhushiDS/whisper-large-v3-Bengali
Base model
openai/whisper-large-v3