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wav2vec2-large-voxrex-npsc-bokmaal

Automatic Speech Recognition
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wav2vec2
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Files changed (9) hide show
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+
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+ Upload file wandb/run-20220205_115616-3j72kd91/run-3j72kd91.wandb: 77%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 12.4M/16.0M [00:03<00:00, 4.69MB/s]
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+ 02/05/2022 14:03:21 - WARNING - huggingface_hub.repository - To https://huggingface.co/NbAiLab/wav2vec2-large-voxrex-npsc-bokmaal
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+ Upload file wandb/run-20220205_115616-3j72kd91/run-3j72kd91.wandb: 77%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 12.4M/16.0M [00:03<00:00, 4.69MB/s]To https://huggingface.co/NbAiLab/wav2vec2-large-voxrex-npsc-bokmaal
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+ 8a01f16..d225756 main -> main
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+ Upload file wandb/run-20220205_115616-3j72kd91/run-3j72kd91.wandb: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 16.0M/16.0M [00:04<00:00, 4.18MB/s]
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+ ***** train metrics *****
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+ epoch = 1.5
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+ train_loss = 0.1951
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+ train_runtime = 2:03:07.67
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+ train_samples = 49645
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+ train_samples_per_second = 10.08
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+ train_steps_per_second = 0.315
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+ 02/05/2022 14:03:24 - INFO - __main__ - *** Evaluate ***
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+ The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`, you can safely ignore this message.
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+ ***** Running Evaluation *****
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+ Num examples = 5437
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+ Batch size = 16
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+ 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 340/340 [06:17<00:00, 1.11s/it]
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+ Saving model checkpoint to ./
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+ Configuration saved in ./config.json
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+ ***** eval metrics *****
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+ epoch = 1.5
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+ eval_loss = 0.1306
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+ Model weights saved in ./pytorch_model.bin
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