whisper fine tuning
Collection
Modelau Whisper wedi eu mireinio gyda gwahanol gasgliadau o ddata, ynghyd â chanlyniadau profi.
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12 items
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Updated
This model is a fine-tuned version of openai/whisper-large-v3 on the DewiBrynJones/commonvoice_18_0_cy default dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.1429 | 1.9455 | 1000 | 0.2754 | 0.2208 |
0.0232 | 3.8911 | 2000 | 0.2916 | 0.1991 |
0.0046 | 5.8366 | 3000 | 0.3219 | 0.1878 |
0.0009 | 7.7821 | 4000 | 0.3454 | 0.1832 |
0.0004 | 9.7276 | 5000 | 0.3638 | 0.1817 |
Base model
openai/whisper-large-v3