VRCLC Malayalam ASR : Models
Collection
6 items
•
Updated
This model is a fine-tuned version of openai/whisper-medium on the datasets: IMASC, MSC, OpenSLR Malayalam Train split, Festvox Malayalam .
It achieves the following results on the validation set : OpenSLR-Test
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0599 | 0.4 | 1000 | 0.0910 | 42.4981 |
0.0341 | 0.79 | 2000 | 0.0584 | 30.0572 |
0.0183 | 1.19 | 3000 | 0.0439 | 23.1650 |
0.0147 | 1.58 | 4000 | 0.0363 | 18.7360 |
0.0107 | 1.98 | 5000 | 0.0322 | 16.4220 |
0.0032 | 2.37 | 6000 | 0.0318 | 14.7300 |
Base model
openai/whisper-medium