<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
whisper-tiny-tamilag
This model is a fine-tuned version of openai/whisper-tiny on the tamil_asr_corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.3455
- Wer: 48.1362
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: 250
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3632 | 0.33 | 1000 | 0.3971 | 48.7663 |
| 0.3005 | 0.67 | 2000 | 0.3574 | 47.9142 |
| 0.283 | 1.0 | 3000 | 0.3455 | 48.1362 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
