furukawamea
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README.md
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@@ -12,12 +12,13 @@ rinna/japanese-hubert-largeにて特徴抽出を行い、日本語により適
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## 直近の学習ログは以下の通りです。
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```
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```
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## 所感
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ボイスチェンジャーやTTS用途で試しているのでその分野で使用時の所感です。<br>
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## 直近の学習ログは以下の通りです。
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```
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[2024-11-04 21:36:53,622][valid][INFO] - epoch 026 | valid on 'valid' subset | loss 13.295 | count_m_0 1430.89 | count_u_0 1265.14 | loss_m_0 13.264 | loss_u_0 11.904 | loss_mlm 13.264 | loss_features_pen 0.011 | ctr_loss 0.025 | ctr_weighted_loss 0.023 | correct_m_0 0.0013102 | correct_u_0 0.00117504 | ppl 10052.6 | wps 5016.4 | wpb 1430.9 | bsz 3.7 | num_updates 93000 | best_loss 9.809
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[2024-11-04 21:36:53,623][fairseq.checkpoint_utils][INFO] - Preparing to save checkpoint for epoch 26 @ 93000 updates
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[2024-11-04 21:36:53,625][fairseq.trainer][INFO] - Saving checkpoint to /content/contentvec/tmp/checkpoints/checkpoint_26_93000.pt
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[2024-11-04 21:36:56,694][fairseq.trainer][INFO] - Finished saving checkpoint to /content/contentvec/tmp/checkpoints/checkpoint_26_93000.pt
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[2024-11-04 21:37:00,612][fairseq.checkpoint_utils][INFO] - Saved checkpoint checkpoints/checkpoint_26_93000.pt (epoch 26 @ 93000 updates, score 13.295) (writing took 6.988974927997333 seconds)
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epoch 026: 55% 2012/3680 [26:19<18:36, 1.49it/s, loss=2.806, count_m_0=1420.22, count_u_0=1272.58, loss_m_0=2.746, loss_u_0=2.059, loss_mlm=2.746, loss_features_pen=0.01, ctr_loss=0.057, ctr_weighted_loss=0.054, correct_m_0=0.462972, correct_u_0=0.55299, ppl=7, wps=2053, ups=1.45, wpb=1420.2, bsz=3.8, num_updates=93900, lr=0.000297421, gnorm=2.509, clip=0, loss_scale=0.125, train_wall=64, gb_free=13.4, wall=74426][2024-11-04 21:48:39,649][fairseq_cli.train][INFO] - begin validation on "valid" subset
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[2024-11-04 21:48:39,650][fairseq.tasks.fairseq_task][INFO] - can_reuse_epoch_itr = True
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```
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## 所感
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ボイスチェンジャーやTTS用途で試しているのでその分野で使用時の所感です。<br>
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