Training in progress, step 1500

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wandb/run-20220302_215121-t49ehimo/logs/debug.log

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wandb/run-20220303_061955-2v8n4o4k/files/output.log

@@ -0,0 +1,37 @@
+
+
+  0%|                                                                                          | 0/2230 [00:00<?, ?it/s][WARNING|modeling_utils.py:388] 2022-03-03 06:20:00,621 >> 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/wav2vec2-2-rnd-grid-search/run_speech_recognition_seq2seq.py", line 539, in <module>
+    main()
+  File "/home/sanchit_huggingface_co/wav2vec2-2-rnd-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; 9.93 GiB already allocated; 945.50 MiB free; 13.26 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_061955-2v8n4o4k/files/requirements.txt

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