tensorboard safetensors distilbert region:us
---
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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
