whisper large v3 turbo med pl lora r64 enc dec lr2e 04 ep5 whisper bigos10k fair filtered This model is a fine tuned version of openai/whisper large v3 turbo on the None dataset. It achieves the following results on the evaluation set: Loss: 1.6342 Model Preparation Time: 0.0204 Wer: 13.1507 Cer: 4.5137 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning rate: 0.0002 train batch size: 16 eval batch size: 8 seed: 42 optimizer: Use OptimizerNames.ADAMW TORCH FUSED with betas=(0.9,0.999) and epsilon=1e 08 and optimizer args=No additional optimizer arguments lr scheduler type: linear lr scheduler warmup ratio: 0.1 num epochs: 5 mixed precision training: Native AMP label smoothing factor: 0.1 Training results Training Loss Epoch Step Validation Loss Model Preparation Time Wer Cer : : : : : : : : : : : : : : 1.6224 1.0 1780 1.6564 0.0204 13.8622 4.5215 1.5902 2.0 3560 1.6411 0.0204 13.3057 4.2441 1.5654 3.0 5340 1.6320 0.0204 12.8279 4.2279 1.5458 4.0 7120 1.6329 0.0204 13.1125 4.4243 1…
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