I am trying to using following configuration in config.yml- Configuration for Rasa NLU. language: en pipeline: name: HFTransformersNLP model_weights: “bert-base-uncased” model_name: “bert” name: LanguageModelTokenizer name: LanguageModelFeaturizer name: CountVectorsFeaturizer lowercase: True name: CountVectorsFeaturizer analyzer: “char_wb” min_ngram: 1 max_ngram: 4 name: RegexFeaturizer name: DIETClassifier epochs: 30 num_transformer_layers: 4 transformer_size: 256 use_masked_language_model: True drop_rate: 0.25 weight_sparsity: 0.7 batch_size: [64,256] embedding_dimension: 30 hidden_layer_sizes: text: [512,128] name: EntitySynonymMapper Configuration for Rasa Core. Ted policy policies: name: TEDPolicy max_history: 5 epochs: 60 batch_size: 50 name: MemoizationPolicy name: MappingPolicy name: FormPolicy name: FallbackPolicy nlu_threshold: 0.7 core_threshold: 0.7 fallback_action_name: “action_hr_fallback” I am able to build locally without docker. But with docker, it is giving the following error:- 2020-05-01 07:56:10 INFO filelock - Lock 139650696593192 acquired on /root/.cache/torch/transformers/d667df51ec24c20190f01fb4c20a21debc4c4fc12f7e2f5441ac0a99690e3ee9.4733ec82e81d40e9cf5fd04556267d8958fb150e9339390fc64206b7e5a79c83.h5.lock Downloading: 100%|██████████| 536M/536M [01:03<00:00, 8.48MB/s] 2020-05-01 07:57:13 INFO filelock - Lock 139650696593192 released on /root/.cache/torch/transformers/d667df51ec24c20190f01fb4c20a21debc4c4fc12f7e2f5441ac0a99690e3ee9.4733ec82e81d40e9cf5fd04556267d8958fb150e9339390fc64206b7e5a79c83.h5.lock 2020-05-01 07:57:13 INFO transformers.modeling_tf_utils - loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-tf_model.h5 from cache at /root/.cache/torch/transformers/d667df51ec24c20190f01fb4c20a21debc4c4fc12f7e2f5441ac0a99690e3ee9.4733ec82e81d40e9cf5fd04556267d8958fb150e9339390fc64206b7e5a79c83.h5 Training NLU model… Traceback (most recent call last): File “/opt/venv/bin/rasa”, line 8, in sys.exit(main()) File “/opt/venv/lib/python3.6/site-packages/rasa/main.py”, line 91, in main cmdline_arguments.func(cmdline_arguments) File “/opt/venv/lib/python3.6/site-packages/rasa/cli/train.py”, line 140, in train_nlu persist_nlu_training_data=args.persist_nlu_data, File “/opt/venv/lib/python3.6/site-packages/rasa/train.py”, line 414, in train_nlu persist_nlu_training_data, File “uvloop/loop.pyx”, line 1456, in uvloop.loop.Loop.run_until_complete File “/opt/venv/lib/python3.6/site-packages/rasa/train.py”, line 445, in _train_nlu_async persist_nlu_training_data=persist_nlu_training_data, File “/opt/venv/lib/python3.6/site-packages/rasa/train.py”, line 474, in _train_nlu_with_validated_data persist_nlu_training_data=persist_nlu_training_data, File “/opt/venv/lib/python3.6/site-packages/rasa/nlu/train.py”, line 74, in train trainer = Trainer(nlu_config, component_builder) File “/opt/venv/lib/python3.6/site-packages/rasa/nlu/model.py”, line 145, in init self.pipeline = s…

Unable to train rasa using docker with DIET classifier and BERT in NLU config.yml

palVikram (Vikram) May 11, 2020, 9:18pm 3

Thanks @Tanja. It did work for me

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