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data.py
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data.py
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import json
import os
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(
"unsloth/mistral-7b-instruct-v0.2-bnb-4bit"
)
BASE_FILENAMES = [
f"data/{{}}-1.txt",
f"data/{{}}-2.txt",
f"data/{{}}-3.txt",
f"data/{{}}-4.txt",
f"data/{{}}-5.txt",
]
INSTRUCTION = "Summarize the following story in my style"
INSTRUCTIONS_FILENAME = "instructions.jsonl"
STORIES_FILENAME = "stories.jsonl"
SUMMARIES_FILENAME = "summaries.jsonl"
print(f"{'Total':<12}{'Instruction':<12}{'Story':<12}{'Summary':<12}")
for base_filename in BASE_FILENAMES:
# Read the story and the summary files
with open(base_filename.format("story"), 'r') as file:
story = "".join(file.readlines())
with open(base_filename.format("summary"), "r") as file:
summary = "".join(file.readlines())
# Count tokens
instruction_tokens = tokenizer(INSTRUCTION, return_tensors="pt")["input_ids"].shape[1]
story_tokens = tokenizer(story, return_tensors="pt")["input_ids"].shape[1]
summary_tokens = tokenizer(summary, return_tensors="pt")["input_ids"].shape[1]
# Print table of tokens
total_tokens = instruction_tokens + story_tokens + summary_tokens
print(f"{total_tokens:<12}{instruction_tokens:<12}{story_tokens:<12}{summary_tokens:<12}")
# Write the training files
with open(INSTRUCTIONS_FILENAME, 'a') as file:
file.write(json.dumps({"text": INSTRUCTION}) + "\n")
with open(STORIES_FILENAME, 'a') as file:
file.write(json.dumps({"text": story}) + "\n")
with open(SUMMARIES_FILENAME, 'a') as file:
file.write(json.dumps({"text": summary}) + "\n")