# Rasa X Training Error **URL:** \ **Category:** \[Deprecated\] Feedback on Rasa X\ **Created:** [April 7, 2020, 9:59am UTC](https://forum.rasa.com/t/rasa-x-training-error/27143 "2020-04-07T09:59:56Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![ShayVD](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/shayvd/32/4646_2.png) [@ShayVD](https://forum.rasa.com/u/ShayVD)\ **Post date:** [April 7, 2020, 9:59am UTC](https://forum.rasa.com/t/rasa-x-training-error/27143/1 "2020-04-07T09:59:56Z")
So I have set up Rasa-X on an AWS EC2 instance and all was going well until I started using ‘HFTransformersNLP’. Now I get errors saying: File “/opt/venv/lib/python3.6/site-packages/transformers/tokenization\_utils.py”, line 400, in \_from\_pretrained raise EnvironmentError(msg) OSError: Couldn’t reach server at ‘{}’ to download vocabulary files. and ``` File "/usr/local/lib/python3.6/os.py", line 220, in makedirs mkdir(name, mode) PermissionError: [Errno 13] Permission denied: '/.cache' ``` from the rasa-worker pod. Any ideas on how to fix this? ---
**Author:** ![stephens](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/stephens/32/1632_2.png) [@stephens](https://forum.rasa.com/u/stephens)\ **Post date:** [April 8, 2020, 11:00pm UTC](https://forum.rasa.com/t/rasa-x-training-error/27143/2 "2020-04-08T23:00:50Z")
Hi Shay, Can you paste your full config.yml? You should also review this [post](http://forum.rasa.com/t/support-for-language-models-inside-rasa/26503) with an example pipeline. Greg ---
**Author:** ![argideritzalpea](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/argideritzalpea/32/7528_2.png) [@argideritzalpea](https://forum.rasa.com/u/argideritzalpea)\ **Post date:** [April 30, 2020, 8:21pm UTC](https://forum.rasa.com/t/rasa-x-training-error/27143/3 "2020-04-30T20:21:16Z")
I am also getting this after training a bert model and importing it to Rasa X. My config.yml is the following: ```auto # Configuration for Rasa NLU. # https://rasa.com/docs/rasa/nlu/components/ language: "en" pipeline: - name: HFTransformersNLP model_weights: "bert-base-uncased" model_name: "bert" - name: LanguageModelTokenizer intent_tokenization_flag: True intent_split_symbol: "+" - name: LanguageModelFeaturizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer analyzer: "char_wb" min_ngram: 1 max_ngram: 4 - 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: [32, 128] embedding_dimension: 30 hidden_layer_sized: text: [512, 128] - name: "DucklingHTTPExtractor" url: "http://localhost:8000" dimensions: ["time", "number"] locale: "en_US" timezone: "US/Pacific" timeout : 3 - name: EntitySynonymMapper # Configuration for Rasa Core. # https://rasa.com/docs/rasa/core/policies/ policies: - name: MemoizationPolicy - name: TEDPolicy featurizer: - name: MaxHistoryTrackerFeaturizer max_history: 5 state_featurizer: - name: LabelTokenizerSingleStateFeaturizer - name: MappingPolicy - name: FormPolicy - name: FallbackPolicy ambiguity_threshold: 0.1 nlu_threshold: 0.4 core_threshold: 0.3 fallback_action_name: "action_default_fallback" ``` Here is the error in my docker-compose environment for Rasa X: ```auto rasa-worker_1 | 2020-04-30 20:09:05 ERROR rasa.core.agent - An exception was raised while fetching a model. Continuing anyways... rasa-worker_1 | Traceback (most recent call last): rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 383, in _from_pretrained rasa-worker_1 | resume_download=resume_download, rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/file_utils.py", line 238, in cached_path rasa-worker_1 | user_agent=user_agent, rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/file_utils.py", line 349, in get_from_cache rasa-worker_1 | os.makedirs(cache_dir, exist_ok=True) rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 210, in makedirs rasa-worker_1 | makedirs(head, mode, exist_ok) rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 210, in makedirs rasa-worker_1 | makedirs(head, mode, exist_ok) rasa-worker_1 | File "/usr/local/lib/python3.6/os.py", line 220, in makedirs rasa-worker_1 | mkdir(name, mode) rasa-worker_1 | PermissionError: [Errno 13] Permission denied: '/.cache' rasa-worker_1 | rasa-worker_1 | During handling of the above exception, another exception occurred: rasa-worker_1 | rasa-worker_1 | Traceback (most recent call last): rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 203, in _run_model_pulling_worker rasa-worker_1 | await _update_model_from_server(model_server, agent) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 125, in _update_model_from_server rasa-worker_1 | _load_and_set_updated_model(agent, model_directory, new_model_fingerprint) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/agent.py", line 86, in _load_and_set_updated_model rasa-worker_1 | interpreter = RasaNLUInterpreter(model_directory=nlu_path) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/interpreter.py", line 274, in __init__ rasa-worker_1 | self._load_interpreter() rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/core/interpreter.py", line 297, in _load_interpreter rasa-worker_1 | self.interpreter = Interpreter.load(self.model_directory) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/model.py", line 301, in load rasa-worker_1 | return Interpreter.create(model_metadata, component_builder, skip_validation) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/model.py", line 328, in create rasa-worker_1 | component_meta, model_metadata.model_dir, model_metadata, **context rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/components.py", line 718, in load_component rasa-worker_1 | component_meta, model_dir, model_metadata, cached_component, **context rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/registry.py", line 231, in load_component_by_meta rasa-worker_1 | component_meta, model_dir, metadata, cached_component, **kwargs rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/components.py", line 445, in load rasa-worker_1 | return cls(meta) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 47, in __init__ rasa-worker_1 | self._load_model() rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 81, in _load_model rasa-worker_1 | self.model_weights, cache_dir=self.cache_dir rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 309, in from_pretrained rasa-worker_1 | return cls._from_pretrained(*inputs, **kwargs) rasa-worker_1 | File "/opt/venv/lib/python3.6/site-packages/transformers/tokenization_utils.py", line 400, in _from_pretrained rasa-worker_1 | raise EnvironmentError(msg) rasa-worker_1 | OSError: Couldn't reach server at '{}' to download vocabulary files. ``` ---
**Author:** ![ForThings](https://avatars.discourse-cdn.com/v4/letter/f/6f9a4e/32.png) [@ForThings](https://forum.rasa.com/u/ForThings)\ **Post date:** [July 7, 2020, 10:21am UTC](https://forum.rasa.com/t/rasa-x-training-error/27143/5 "2020-07-07T10:21:28Z")
this is file permission error when running in docker u can use cache\_dir for HFTransformersNLP ```auto mkdir cache chmod -R 777 cache ``` modify `docker-compose.yml` on module `x-rasa-services: &default-rasa-service` add this: ```auto volumes: - ./cache:/app/cache_dir ```