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GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ------------------------------------------------------------------------ 0 | preprocessor | AudioToMelSpectrogramPreprocessor | 0 1 | encoder | ConvASREncoder | 36.3 M 2 | decoder | ConvASRDecoder | 112 K 3 | loss | CTCLoss | 0 4 | spec_augmentation | SpectrogramAugmentation | 0 5 | wer | WER | 0 ------------------------------------------------------------------------ 1.8 M Trainable params 34.7 M Non-trainable params 36.4 M Total params 145.798 Total estimated model params size (MB) Epoch 9, global step 5070: 'val_wer' reached 0.38640 (best 0.38640), saving model to '/content/experiments/lang-ta/ASR-Model-Language-ta/2024-02-15_22-34-08/checkpoints/ASR-Model-Language-ta--val_wer=0.3864-epoch=9.ckpt' as top 3 Epoch 19, global step 10140: 'val_wer' reached 0.35093 (best 0.35093), saving model to '/content/experiments/lang-ta/ASR-Model-Language-ta/2024-02-15_22-34-08/checkpoints/ASR-Model-Language-ta--val_wer=0.3509-epoch=19.ckpt' as top 3 `Trainer.fit` stopped: `max_epochs=20` reached. Restoring states from the checkpoint path at /content/experiments/lang-ta/ASR-Model-Language-ta/2024-02-15_22-34-08/checkpoints/ASR-Model-Language-ta--val_wer=0.3509-epoch=19.ckpt Restored all states from the checkpoint at /content/experiments/lang-ta/ASR-Model-Language-ta/2024-02-15_22-34-08/checkpoints/ASR-Model-Language-ta--val_wer=0.3509-epoch=19.ckpt |