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wandb: eval/clap 0.2676 wandb: eval/clean_wer 72.04611 wandb: eval/epoch 11 wandb: eval/loss 4.22281 wandb: eval/noisy_word_error 71.18644 wandb: eval/percent_clean_samples 0.72917 wandb: eval/time 12.09074 wandb: eval/wer 71.82796 wandb: train/epoch 11 wandb: train/grad_norm 0.24614 wandb: train/learning_rate 0.0 wandb: train/loss 1.78069 wandb: train/time 2906.17637

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0.9B params

Tensor type

F32

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