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 |
---|---|---|---|---|
0.0611 | 4.0161 | 1000 | 0.3231 | 0.2272 |
0.0088 | 8.0321 | 2000 | 0.3693 | 0.2145 |
0.0008 | 12.0482 | 3000 | 0.4037 | 0.2050 |
0.0005 | 16.0643 | 4000 | 0.4351 | 0.2050 |
0.0003 | 20.0803 | 5000 | 0.4426 | 0.2027 |
Base model
openai/whisper-large-v3