I’m trying to train my model with the ConveRT pipeline, and would like to explore the fine-tuning of the hyperparameters.
I’m getting this error:
Training model 'config_388' failed. Error: If embeddings are shared, text features and label features must coincide. Check the output dimensions of previous components.
with this config file:
language: en pipeline: - name: "ConveRTTokenizer" - name: "ConveRTFeaturizer" - name: "EmbeddingIntentClassifier" share_hidden_layers: True embed_dim: 30 num_neg: 30 similarity_type: 'auto' batch_strategy: 'sequence' loss_type: 'softmax' ranking_length: 10 hidden_layers_sizes_b: [256, 128]
What can be the reason?
Thank you, Tiziano