|
--- |
|
license: apache-2.0 |
|
pipeline_tag: text-generation |
|
--- |
|
KUETLLM is a [zephyr7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) finetune, using a dataset with prompts and answers about Khulna University of Engineering and Technology. |
|
It was loaded in 8 bit quantization using [bitsandbytes](https://github.com/TimDettmers/bitsandbytes). [LORA](https://huggingface.co/docs/diffusers/main/en/training/lora) was used to finetune an adapter, which was leter merged with the base unquantized model. |
|
|
|
datasets: |
|
- University information (collected from website, https://kuet.ac.bd/) |
|
|
|
Below are the training configurations for the fine-tuning process: |
|
``` |
|
LoraConfig: |
|
r=16, |
|
lora_alpha=16, |
|
target_modules=["q_proj", "v_proj","k_proj","o_proj","gate_proj","up_proj","down_proj"], |
|
lora_dropout=0.05, |
|
bias="none", |
|
task_type="CAUSAL_LM" |
|
``` |
|
``` |
|
TrainingArguments: |
|
per_device_train_batch_size=12, |
|
gradient_accumulation_steps=1, |
|
optim='paged_adamw_8bit', |
|
learning_rate=5e-06 , |
|
fp16=True, |
|
logging_steps=10, |
|
num_train_epochs = 1, |
|
output_dir=zephyr_lora_output, |
|
remove_unused_columns=False, |
|
``` |
|
|
|
## Inferencing: |
|
``` |
|
def process_data_sample(example): |
|
processed_example = "<|system|>\nYou are a KUET authority managed chatbot, help users by answering their queries about KUET.\n<|user|>\n" + example + "\n<|assistant|>\n" |
|
return processed_example |
|
|
|
inp_str = process_data_sample("Tell me about KUET.") |
|
inputs = tokenizer(inp_str, return_tensors="pt") |
|
generation_config = GenerationConfig( |
|
do_sample=True, |
|
top_k=1, |
|
temperature=0.1, |
|
max_new_tokens=256, |
|
pad_token_id=tokenizer.eos_token_id |
|
) |
|
|
|
outputs = model.generate(**inputs, generation_config=generation_config) |
|
print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
|
``` |
