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README.md
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# ISHA Call Center QA Model
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## This model was trained on a finetuned version(StableBeluga2) of Llama2-13B from stabilityai : [(StableBeluga2 tops the LLM leaderboard currently)](https://huggingface.co/stabilityai/StableBeluga2)
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### Dataset Used : https://huggingface.co/datasets/nateshmbhat/isha-qa-text
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# ISHA Call Center QA Model
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## This model was trained on a finetuned version(StableBeluga2) of Llama2-13B from stabilityai : [(StableBeluga2 tops the LLM leaderboard currently)](https://huggingface.co/stabilityai/StableBeluga2)
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### Dataset Used : https://huggingface.co/datasets/nateshmbhat/isha-qa-text
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#### Train Params used :
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- Base model : stabilityai/StableBeluga-13B
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- Quantization Used : 4 bit
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- Learning rate : 2e-4
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- Batch Size : 2
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- Epochs : 3
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- Trainer : sft
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- Max token length : 2048 (capable of higher token length)
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#### Full command :
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```
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!autotrain llm --train --project_name project-isha-qa --model stabilityai/StableBeluga-13B --data_path nateshmbhat/isha-qa-text --use_peft --use_int4 --learning_rate 2e-4 --train_batch_size 2 --num_train_epochs 3 --trainer sft --model_max_length 2048 --push_to_hub --repo_id nateshmbhat/model-isha-qa
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```
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