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 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 |
---|---|---|---|---|
0.3674 | 1.1390 | 1000 | 0.4709 | 0.3416 |
0.2228 | 2.2779 | 2000 | 0.4358 | 0.3117 |
0.1266 | 3.4169 | 3000 | 0.4588 | 0.3070 |
0.0611 | 4.5558 | 4000 | 0.5140 | 0.3039 |
0.0245 | 5.6948 | 5000 | 0.5776 | 0.3064 |
Base model
openai/whisper-large-v3