Training in progress, step 1000

.gitattributes

@@ -25,4 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+wandb/run-20220523_115145-3dybzmyz/run-3dybzmyz.wandb filter=lfs diff=lfs merge=lfs -text
 *.wandb filter=lfs diff=lfs merge=lfs -text

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:bb89a06605f56711cff18daf05feca605389bdcb2628e4715f228b7f66767dd5
+oid sha256:91ceceefbb75b1406f02e23ca4cc2b3ab6a7c8ae83e19f679826a46c92a0fd6f
 size 3850439217

wandb/run-20220523_115145-3dybzmyz/files/output.log

@@ -1786,3 +1786,1767 @@ Configuration saved in ./checkpoint-500/config.json
 {'eval_loss': 2.797088623046875, 'eval_wer': 1.0, 'eval_runtime': 2782.5245, 'eval_samples_per_second': 14.641, 'eval_steps_per_second': 1.22, 'epoch': 0.04}
 Model weights saved in ./checkpoint-500/pytorch_model.bin
 Feature extractor saved in ./checkpoint-500/preprocessor_config.json
+Feature extractor saved in ./preprocessor_config.json
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+  0%|▏                                                                                                               | 599/499680 [1:11:53<148:35:07,  1.07s/it]
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+  0%|▏                                                                                                               | 699/499680 [1:15:54<143:01:10,  1.03s/it]
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+  0%|▏                                                                                                               | 800/499680 [1:19:57<134:05:24,  1.03it/s]
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+  0%|▏                                                                                                               | 898/499680 [1:23:57<154:25:15,  1.11s/it]
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+  0%|▏                                                                                                              | 1000/499680 [1:28:03<139:02:50,  1.00s/it]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.
+***** Running Evaluation *****
+  Num examples = 40740
+  Batch size = 12
+  0%|                                                                                                                                  | 0/3395 [00:00<?, ?it/s]
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+Configuration saved in ./checkpoint-1000/config.json
+{'eval_loss': 0.5766342878341675, 'eval_wer': 0.5700615809978635, 'eval_runtime': 2721.0829, 'eval_samples_per_second': 14.972, 'eval_steps_per_second': 1.248, 'epoch': 0.08}
+Model weights saved in ./checkpoint-1000/pytorch_model.bin
+Feature extractor saved in ./checkpoint-1000/preprocessor_config.json
+Feature extractor saved in ./preprocessor_config.json
+Adding files tracked by Git LFS: ['wandb/run-20220523_115145-3dybzmyz/run-3dybzmyz.wandb']. This may take a bit of time if the files are large.

wandb/run-20220523_115145-3dybzmyz/run-3dybzmyz.wandb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c91f77b21fe4c893f5ed1d5a60bb91ac15b749c4c7e6440f692d28c0673f002
-size 7716664
+oid sha256:4e112b7096c290e893924b3f3fbf4cd2ab517ad90e2ba2e929c9c062ebab394a
+size 15613830