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/banc-trawsgrifiadau-bangor-clean-with-ccv 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 |
---|---|---|---|---|
0.408 | 0.6311 | 1000 | 0.5 | 0.3734 |
0.2455 | 1.2622 | 2000 | 0.4340 | 0.3233 |
0.216 | 1.8933 | 3000 | 0.4010 | 0.3000 |
0.1308 | 2.5245 | 4000 | 0.4069 | 0.2964 |
0.0804 | 3.1556 | 5000 | 0.4191 | 0.2911 |
Base model
openai/whisper-large-v3