This pipeline shows how a chatbot learns to understand and respond to user messages. It starts with collecting chat data, then cleans and prepares it, trains a language model, and finally uses the model to generate replies.
Loss
2.3 |**************
1.8 |**********
1.4 |*******
1.1 |*****
0.9 |****
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1 2 3 4 5 Epochs
| Epoch | Loss ↓ | Accuracy ↑ | Observation |
|---|---|---|---|
| 1 | 2.3 | 0.25 | Model starts learning basic word patterns |
| 2 | 1.8 | 0.40 | Model improves understanding of common phrases |
| 3 | 1.4 | 0.55 | Model better predicts next words in sentences |
| 4 | 1.1 | 0.65 | Model starts generating more relevant replies |
| 5 | 0.9 | 0.72 | Model converges with good reply quality |