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wandb: eval/clap 0.309 wandb: eval/clean_wer 75 wandb: eval/epoch 9 wandb: eval/loss 4.2052 wandb: eval/noisy_word_error 82.02247 wandb: eval/percent_clean_samples 0.67742 wandb: eval/time 8.10246 wandb: eval/wer 77.25632 wandb: train/epoch 9 wandb: train/grad_norm 0.20945 wandb: train/learning_rate 0.0 wandb: train/loss 2.49975 wandb: train/time 1844.79232

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0.9B params

Tensor type

F32

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