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Fast Acknowledgment Model for Realtime Conversation.
Trained on synthetic data using gpt4 and sonet3.5
Please find the labels below:
{'It happens.': 0, 'Sounds busy.': 1, 'You seem upset.': 2, 'That sounds hard.': 3, 'I hear you.': 4, 'I understand.': 5, 'Absolutely!': 6, 'Understood.': 7, 'You feel unappreciated.': 8, "Let's check then.": 9, 'Perhaps so.': 10, "That's frustrating.": 11, "I can see why you're concerned.": 12, 'That does sound challenging.': 13, 'I appreciate you sharing that.': 14, "That's a valid point.": 15, 'That must be difficult.': 16, "I'm listening.": 17, "Let's explore that further.": 18, 'Your perspective is valuable.': 19, "I'm here to help.": 20, 'I see the opportunity there.': 21, "Let's discuss how we can address that.": 22, "That's an interesting challenge.": 23, 'I appreciate your candor.': 24, 'Your needs are important to us.': 25, "That's a great question.": 26, 'I can see how that would be a concern.': 27, 'Let me make sure I understand correctly.': 28, "That's an important point you've raised.": 29, "I'd be happy to elaborate on that.": 30, 'I see what you mean.': 31, "That's a fair point.": 32, 'Thanks for bringing that up.': 33, "I hadn't thought of that.": 34, 'Let me check on that for you.': 35, "I'm not sure I follow.": 36, "Let's take a step back.": 37, 'I apologize for the confusion.': 38, "That's not quite what I meant.": 39, 'Can you bear with me for a moment?': 40, "I'm afraid there's been a misunderstanding.": 41, 'Let me rephrase that.': 42, "I'm having trouble hearing you.": 43, "That's not what I was expecting to hear.": 44, 'Can we circle back to that later?': 45}
tags: - autotrain - text-classification base_model: distilbert/distilbert-base-uncased widget: - text: "I love AutoTrain"
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 2.386875629425049
f1_macro: 0.5316382395666281
f1_micro: 0.5842105263157895
f1_weighted: 0.5344721463606912
precision_macro: 0.5635071450288841
precision_micro: 0.5842105263157895
precision_weighted: 0.5630806036069195
recall_macro: 0.5760869565217391
recall_micro: 0.5842105263157895
recall_weighted: 0.5842105263157895
accuracy: 0.5842105263157895
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