Training in progress, step 500

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wandb/run-20220302_214437-2u4nhnsf/files/wandb-metadata.json

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wandb/run-20220303_004039-1a18zsso/files/output.log

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+
+
+  0%|                                                                                           | 0/892 [00:00<?, ?it/s][WARNING|modeling_utils.py:388] 2022-03-03 00:40:45,319 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
+Traceback (most recent call last):
+  File "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py", line 539, in <module>
+    main()
+  File "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py", line 491, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1384, in train
+    tr_loss_step = self.training_step(model, inputs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1959, in training_step
+    loss = self.compute_loss(model, inputs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1991, in compute_loss
+    outputs = model(**inputs)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py", line 503, in forward
+    encoder_outputs = self.encoder(
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1346, in forward
+    extract_features = self.feature_extractor(input_values)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 514, in forward
+    hidden_states = conv_layer(hidden_states)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 389, in forward
+    hidden_states = self.layer_norm(hidden_states)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/normalization.py", line 189, in forward
+    return F.layer_norm(
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/functional.py", line 2347, in layer_norm
+    return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
+RuntimeError: CUDA out of memory. Tried to allocate 1.63 GiB (GPU 0; 15.78 GiB total capacity; 10.07 GiB already allocated; 707.31 MiB free; 13.39 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

wandb/run-20220303_004039-1a18zsso/files/requirements.txt

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+        "--use_auth_token"
+    ],
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+    "codePath": "run_speech_recognition_seq2seq.py",
+    "git": {
+        "remote": "https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search",
+        "commit": "8c7181143c175387040dc1a6ac2ddbc9179b550c"
+    },
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+    "root": "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search",
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wandb/run-20220303_004215-2ttcbe3s/files/config.yaml

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wandb/run-20220303_004215-2ttcbe3s/files/output.log

@@ -0,0 +1,37 @@
+
+
+  0%|                                                                                           | 0/446 [00:00<?, ?it/s][WARNING|modeling_utils.py:388] 2022-03-03 00:42:21,600 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
+Traceback (most recent call last):
+  File "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py", line 539, in <module>
+    main()
+  File "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py", line 491, in main
+    train_result = trainer.train(resume_from_checkpoint=checkpoint)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1384, in train
+    tr_loss_step = self.training_step(model, inputs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1959, in training_step
+    loss = self.compute_loss(model, inputs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/trainer.py", line 1991, in compute_loss
+    outputs = model(**inputs)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py", line 503, in forward
+    encoder_outputs = self.encoder(
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 1346, in forward
+    extract_features = self.feature_extractor(input_values)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 514, in forward
+    hidden_states = conv_layer(hidden_states)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/transformers/src/transformers/models/wav2vec2/modeling_wav2vec2.py", line 389, in forward
+    hidden_states = self.layer_norm(hidden_states)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
+    return forward_call(*input, **kwargs)
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/modules/normalization.py", line 189, in forward
+    return F.layer_norm(
+  File "/home/sanchit_huggingface_co/gcp/lib/python3.9/site-packages/torch/nn/functional.py", line 2347, in layer_norm
+    return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
+RuntimeError: CUDA out of memory. Tried to allocate 1.64 GiB (GPU 0; 15.78 GiB total capacity; 10.11 GiB already allocated; 707.31 MiB free; 13.39 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

wandb/run-20220303_004215-2ttcbe3s/files/requirements.txt

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+        "--fp16",
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+        "--do_lower_case",
+        "--do_train",
+        "--do_eval",
+        "--report_to=wandb",
+        "--push_to_hub",
+        "--use_auth_token"
+    ],
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+    "program": "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py",
+    "codePath": "run_speech_recognition_seq2seq.py",
+    "git": {
+        "remote": "https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search",
+        "commit": "8c7181143c175387040dc1a6ac2ddbc9179b550c"
+    },
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+    "root": "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search",
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