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README.md
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## Training Data
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The model was fine-tuned on the [Bitext Travel Dataset](https://huggingface.co/datasets/bitext/Bitext-travel-llm-chatbot-training-dataset) comprising various travel-related intents, including: book_flight, choose_seat, check_arrival_time, book_trip, purchase_flight_insurance, check_cancellation_fee, check_baggage_allowance, and more.
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Totaling 33 intents, and each intent is represented by approximately 1000 examples. This comprehensive training helps the model address a broad spectrum of travel-related questions effectively. The dataset follows the same structured approach as our dataset published on Hugging Face as [bitext/Bitext-customer-support-llm-chatbot-training-dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset), but with a focus on travel.
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## Training Procedure
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## Training Data
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The model was fine-tuned on the [Bitext Travel Dataset](https://huggingface.co/datasets/bitext/Bitext-travel-llm-chatbot-training-dataset) comprising various travel-related intents, including: book_flight, choose_seat, check_arrival_time, book_trip, purchase_flight_insurance, check_cancellation_fee, check_baggage_allowance, and more.
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Totaling 33 intents, and each intent is represented by approximately 1000 examples. This comprehensive training helps the model address a broad spectrum of travel-related questions effectively. The dataset follows the same structured approach as our dataset published on Hugging Face as [bitext/Bitext-customer-support-llm-chatbot-training-dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset), but with a focus on travel.
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## Training Procedure
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