Issue with conveRT featurizer when used together with SpacyTokenizer

[gopal2676]

Rasa Version - 2.6.0
Spacy Version - 3.0.5
conveRTFeaturizer model url : "https://github.com/connorbrinton/polyai-models/releases/download/v1.0/model.tar.gz"
config:

language: en
pipeline:
  - name: SpacyNLP
    model: en_core_web_md
  - name: SpacyTokenizer
  - name: ConveRTFeaturizer
    "model_url": "https://github.com/connorbrinton/polyai-models/releases/download/v1.0/model.tar.gz"
  - name: DIETClassifier
policies:
   - name: MemoizationPolicy

Whitespace Tokenizer works fine with conveRTFeaturizer whereas if I change it to SpacyTokenizer, it pops up the following error

2022-03-29 09:20:28 INFO     rasa.shared.nlu.training_data.training_data  - Training data stats:
2022-03-29 09:20:28 INFO     rasa.shared.nlu.training_data.training_data  - Number of intent examples: 69 (7 distinct intents)

2022-03-29 09:20:28 INFO     rasa.shared.nlu.training_data.training_data  -   Found intents: 'goodbye', 'bot_challenge', 'greet', 'affirm', 'mood_great', 'mood_unhappy', 'deny'
2022-03-29 09:20:28 INFO     rasa.shared.nlu.training_data.training_data  - Number of response examples: 0 (0 distinct responses)
2022-03-29 09:20:28 INFO     rasa.shared.nlu.training_data.training_data  - Number of entity examples: 0 (0 distinct entities)
2022-03-29 09:20:28 INFO     rasa.nlu.model  - Starting to train component SpacyNLP
2022-03-29 09:20:28 INFO     rasa.nlu.model  - Finished training component.
2022-03-29 09:20:28 INFO     rasa.nlu.model  - Starting to train component SpacyTokenizer
2022-03-29 09:20:28 INFO     rasa.nlu.model  - Finished training component.
2022-03-29 09:20:28 INFO     rasa.nlu.model  - Starting to train component ConveRTFeaturizer
Text batches:   0%|                                                                                                                                                           | 0/2 [00:01<?, ?it/s]
Traceback (most recent call last):
  File "/home/gnmishra/.conda/envs/fresh/bin/rasa", line 8, in <module>
    sys.exit(main())
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/__main__.py", line 117, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/cli/train.py", line 59, in <lambda>
    train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/cli/train.py", line 103, in run_training
    finetuning_epoch_fraction=args.epoch_fraction,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/api.py", line 124, in train
    loop,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/utils/common.py", line 296, in run_in_loop
    result = loop.run_until_complete(f)
  File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/model_training.py", line 119, in train_async
    finetuning_epoch_fraction=finetuning_epoch_fraction,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/model_training.py", line 300, in _train_async_internal
    finetuning_epoch_fraction=finetuning_epoch_fraction,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/model_training.py", line 343, in _do_training
    finetuning_epoch_fraction=finetuning_epoch_fraction,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/model_training.py", line 766, in _train_nlu_with_validated_data
    **additional_arguments,
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/nlu/train.py", line 116, in train
    interpreter = trainer.train(training_data, **kwargs)
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/nlu/model.py", line 219, in train
    component.train(working_data, self.config, **context)
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/nlu/featurizers/dense_featurizer/convert_featurizer.py", line 343, in train
    ) = self._compute_features(batch_examples, attribute)
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/nlu/featurizers/dense_featurizer/convert_featurizer.py", line 204, in _compute_features
    ) = self._compute_sequence_encodings(batch_examples, attribute)
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/nlu/featurizers/dense_featurizer/convert_featurizer.py", line 240, in _compute_sequence_encodings
    list_of_tokens, token_features
  File "/home/gnmishra/.conda/envs/fresh/lib/python3.7/site-packages/rasa/utils/train_utils.py", line 175, in align_token_features
    ][token_idx + offset]
IndexError: index 7 is out of bounds for axis 0 with size 7