BERT_NLU_240806_NLU_1
Overview
This model is a fine-tuned version of bert-base-uncased on cntc-brkr/240806_NLU_1. It is designed for Natural Language Understanding (NLU) tasks, specifically intent classification.
Model Details
- Model Type: BERT (NLU)
- Language: English
- Training Data: cntc-brkr/240806_NLU_1
- Input: Text
- Output: Intent Classification
Training Parameters
- Maximum Sequence Length: 200
- Training Batch Size: 8
- Validation Batch Size: 4
- Number of Epochs: 10
- Learning Rate: 1e-05
Dataset Information
- Dataset Name: cntc-brkr/240806_NLU_1
- Task: Intent Classification
- Number of Classes: 9
Label Classes
The model was trained to classify the following intents:
- 0: land
- 1: take_off
- 2: overwatch
- 3: search
- 4: transit
- 5: detection
- 6: stop
- 7: monitor
- 8: out_of_scope
Weights and Biases Run Information
- Run information is not available.
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