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elo calculations and update arena metadta
Browse files- README.md +8 -2
- calculate_elo.py +276 -0
README.md
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---
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title:
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emoji: π
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colorFrom: yellow
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colorTo: blue
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@@ -10,4 +10,10 @@ pinned: false
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license: apache-2.0
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---
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---
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title: Community ChatBot Arena
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emoji: π
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colorFrom: yellow
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colorTo: blue
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license: apache-2.0
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---
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# OpenAccess AI Collective Community ChatBot Arena
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- Arena: https://huggingface.co/spaces/openaccess-ai-collective/rlhf-arena
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- GitHub: https://github.com/OpenAccess-AI-Collective/rlhf-arena
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- Built using Runpod Serverless. See our writeup here: https://medium.com/@winglian/inference-any-llm-with-serverless-in-15-minutes-69eeb548a41d
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- Want to have your language model added to the Arena? [Create an Issue](https://github.com/OpenAccess-AI-Collective/rlhf-arena/issues) or reach out on [Discord](https://discord.gg/PugNNHAF5r)
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- [π΅ Consider Donating on our Patreon](http://patreon.com/OpenAccessAICollective)
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calculate_elo.py
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import logging
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import os
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from datetime import datetime
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from decimal import Decimal
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import boto3
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from boto3.dynamodb.conditions import Attr
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logging.basicConfig(level=os.getenv("LOG_LEVEL", "INFO"))
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# Create a DynamoDB client
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dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
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def _create_arena_table():
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table = dynamodb.create_table(
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TableName='oaaic_chatbot_arena',
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KeySchema=[
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{
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'AttributeName': 'arena_battle_id',
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'KeyType': 'HASH'
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},
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],
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AttributeDefinitions=[
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{
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'AttributeName': 'arena_battle_id',
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'AttributeType': 'S'
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},
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{
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'AttributeName': 'timestamp',
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'AttributeType': 'S'
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},
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],
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ProvisionedThroughput={
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'ReadCapacityUnits': 5,
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'WriteCapacityUnits': 5
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},
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GlobalSecondaryIndexes=[
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{
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'IndexName': 'TimestampIndex',
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'KeySchema': [
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{
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'AttributeName': 'arena_battle_id',
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'KeyType': 'HASH'
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},
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{
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'AttributeName': 'timestamp',
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'KeyType': 'RANGE'
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},
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],
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'Projection': {
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'ProjectionType': 'ALL',
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},
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'ProvisionedThroughput': {
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'ReadCapacityUnits': 5,
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'WriteCapacityUnits': 5,
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}
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},
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]
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)
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def _create_elo_scores_table():
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dynamodb.create_table(
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TableName='elo_scores',
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KeySchema=[
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{
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'AttributeName': 'chatbot_name',
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'KeyType': 'HASH' # Partition key
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},
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],
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AttributeDefinitions=[
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{
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'AttributeName': 'chatbot_name',
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'AttributeType': 'S'
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},
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],
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ProvisionedThroughput={
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'ReadCapacityUnits': 5,
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'WriteCapacityUnits': 5
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}
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)
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def _create_elo_logs_table():
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dynamodb.create_table(
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TableName='elo_logs',
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KeySchema=[
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{
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'AttributeName': 'arena_battle_id',
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'KeyType': 'HASH' # Partition key
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},
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],
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AttributeDefinitions=[
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{
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'AttributeName': 'arena_battle_id',
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'AttributeType': 'S'
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},
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{
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'AttributeName': 'battle_timestamp',
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'AttributeType': 'S'
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},
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],
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ProvisionedThroughput={
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'ReadCapacityUnits': 10,
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'WriteCapacityUnits': 10
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},
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GlobalSecondaryIndexes=[
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{
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'IndexName': 'BattleTimestampIndex',
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'KeySchema': [
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{
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'AttributeName': 'battle_timestamp',
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'KeyType': 'HASH' # Partition key for the GSI
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},
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],
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'Projection': {
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'ProjectionType': 'ALL'
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},
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'ProvisionedThroughput': {
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'ReadCapacityUnits': 10,
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'WriteCapacityUnits': 10
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}
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},
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]
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)
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def get_unprocessed_battles(last_processed_timestamp):
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# Use boto3 to create a DynamoDB resource and reference the table
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table = dynamodb.Table('oaaic_chatbot_arena')
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# Use a query to retrieve unprocessed battles in temporal order
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response = table.scan(
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FilterExpression=Attr('timestamp').gt(last_processed_timestamp),
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# ScanIndexForward=True
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)
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return response['Items']
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def calculate_elo(rating1, rating2, result, K=32):
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# Convert ratings to float
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rating1 = float(rating1)
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rating2 = float(rating2)
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# Calculate the expected outcomes
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expected_outcome1 = 1.0 / (1.0 + 10.0 ** ((rating2 - rating1) / 400.0))
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expected_outcome2 = 1.0 - expected_outcome1
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# Calculate the new Elo ratings
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new_rating1 = rating1 + K * (result - expected_outcome1)
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new_rating2 = rating2 + K * ((1.0 - result) - expected_outcome2)
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return Decimal(new_rating1).quantize(Decimal('0.00')), Decimal(new_rating2).quantize(Decimal('0.00'))
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def get_last_processed_timestamp():
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table = dynamodb.Table('elo_logs')
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response = table.update (
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AttributeDefinitions=[
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{
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'AttributeName': 'timestamp',
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'AttributeType': 'S'
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},
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],
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GlobalSecondaryIndexUpdates=[
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{
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'Create': {
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'IndexName': 'TimestampIndex',
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'KeySchema': [
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{
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'AttributeName': 'timestamp',
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'KeyType': 'RANGE'
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},
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],
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'Projection': {
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'ProjectionType': 'ALL',
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}
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},
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},
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]
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)
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# Scan the table sorted by timestamp in descending order
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response = table.scan(
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Limit=1,
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ScanIndexForward=False
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)
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# If there are no items in the table, return a default timestamp
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if not response['Items']:
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return '1970-01-01T00:00:00'
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# Otherwise, return the timestamp of the latest item
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return response['Items'][0]['battle_timestamp']
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def log_elo_update(arena_battle_id, battle_timestamp, new_rating1, new_rating2):
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# Reference the elo_logs table
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table = dynamodb.Table('elo_logs')
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# Update the table
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table.put_item(
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Item={
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'arena_battle_id': arena_battle_id,
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'battle_timestamp': battle_timestamp, # Use the timestamp of the battle
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'log_timestamp': datetime.now().isoformat(), # Also store the timestamp of the log for completeness
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'new_rating1': new_rating1,
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'new_rating2': new_rating2
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}
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)
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def get_elo_score(chatbot_name, elo_scores):
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if chatbot_name in elo_scores:
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return elo_scores[chatbot_name]
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table = dynamodb.Table('elo_scores')
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response = table.get_item(Key={'chatbot_name': chatbot_name})
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# If there is no item in the table, return a default score
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if 'Item' not in response:
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return 1500
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return response['Item']['elo_score']
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def update_elo_score(chatbot_name, new_elo_score):
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table = dynamodb.Table('elo_scores')
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# This will create a new item if it doesn't exist
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table.put_item(
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Item={
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'chatbot_name': chatbot_name,
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'elo_score': Decimal(str(new_elo_score)),
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}
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)
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def main():
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# last_processed_timestamp = get_last_processed_timestamp()
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last_processed_timestamp = '1970-01-01T00:00:00'
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battles = get_unprocessed_battles(last_processed_timestamp)
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elo_scores = {}
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for battle in battles:
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if battle['label'] in {0, 1, 2}:
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outcome = battle['label']
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for chatbot_name in [battle['choice1_name'], battle['choice2_name']]:
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if chatbot_name not in elo_scores:
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elo_scores[chatbot_name] = get_elo_score(chatbot_name, elo_scores)
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# 1: This means that the first player (or team) won the match.
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# 0.5: This means that the match ended in a draw.
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# 0: This means that the first player (or team) lost the match.
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if outcome == 0:
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elo_result = 0.5
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elif outcome == 1:
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elo_result = 1
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else:
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elo_result = 0
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new_rating1, new_rating2 = calculate_elo(elo_scores[battle['choice1_name']], elo_scores[battle['choice2_name']], elo_result)
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elo_scores[battle['choice1_name']] = new_rating1
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elo_scores[battle['choice2_name']] = new_rating2
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log_elo_update(battle['arena_battle_id'], battle['timestamp'], new_rating1, new_rating2)
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logging.info(f"{battle['choice1_name']}: {elo_scores[battle['choice1_name']]} -> {new_rating1} | {battle['choice2_name']}: {elo_scores[battle['choice2_name']]} -> {new_rating2}")
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update_elo_score(battle['choice1_name'], new_rating1)
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update_elo_score(battle['choice2_name'], new_rating2)
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elo_scores[battle['choice1_name']] = new_rating1
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elo_scores[battle['choice2_name']] = new_rating2
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if __name__ == "__main__":
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main()
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