From 4d3efd7ecd7120f659b9b5c6b0bcc5016dcb01fe Mon Sep 17 00:00:00 2001 From: Mojtaba <11262163+mojtaba-komeili@users.noreply.github.com> Date: Thu, 1 Jun 2023 09:02:57 -0700 Subject: [PATCH] Multilight models (#5041) * WIP check in * all the required models added * the model name and directory * Readme core * lint * WIP check in * all the required models added * the model name and directory * Readme core * lint * model zoo list * finalized readme * lint * # flake8: noqa on models list --- parlai/zoo/model_list.py | 77 +++++++++++++++++++++++- parlai/zoo/multilight/__init__.py | 5 ++ parlai/zoo/multilight/speaker.py | 17 ++++++ parlai/zoo/multilight/utils.py | 19 ++++++ parlai/zoo/multilight/utterance_3B.py | 19 ++++++ parlai/zoo/multilight/utterance_400m.py | 19 ++++++ projects/multilight/DatasetExample.png | Bin 0 -> 349031 bytes projects/multilight/README.md | 60 ++++++++++++++++++ 8 files changed, 214 insertions(+), 2 deletions(-) create mode 100644 parlai/zoo/multilight/__init__.py create mode 100644 parlai/zoo/multilight/speaker.py create mode 100644 parlai/zoo/multilight/utils.py create mode 100644 parlai/zoo/multilight/utterance_3B.py create mode 100644 parlai/zoo/multilight/utterance_400m.py create mode 100644 projects/multilight/DatasetExample.png create mode 100644 projects/multilight/README.md diff --git a/parlai/zoo/model_list.py b/parlai/zoo/model_list.py index 93329fb6aaa..ef92e8e32d5 100644 --- a/parlai/zoo/model_list.py +++ b/parlai/zoo/model_list.py @@ -4,6 +4,8 @@ # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. +# flake8: noqa + """ The Model Zoo. @@ -1424,8 +1426,15 @@ "agent": "projects.style_gen.classifier:ClassifierAgent", "task": "style_gen:LabeledBlendedSkillTalk", "project": 'https://github.com/facebookresearch/ParlAI/tree/main/projects/style_gen', - "description": "Classifier trained on Image-Chat turns 2 and 3 to classify the personality of an example given that utterance as the sole context.", - "example": "parlai eval_model --task style_gen:CurrUttOnlyStyle --wrapper-task style_gen:LabeledBlendedSkillTalk --model-file zoo:style_gen/curr_only_classifier/model --model projects.style_gen.classifier:ClassifierAgent --classes-from-file image_chat_personalities_file", + "description": ( + "Classifier trained on Image-Chat turns 2 and 3 to classify the personality" + " of an example given that utterance as the sole context." + ), + "example": """ + parlai eval_model --task style_gen:CurrUttOnlyStyle --wrapper-task style_gen:LabeledBlendedSkillTalk \ + --model-file zoo:style_gen/curr_only_classifier/model \ + --model projects.style_gen.classifier:ClassifierAgent --classes-from-file image_chat_personalities_file + """, "result": """ 16:46:41 | Finished evaluating tasks ['style_gen:CurrUttOnlyStyle'] using datatype valid accuracy bleu-4 clen ctpb ctps ctrunc ctrunclen exps exs f1 gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen tpb tps \ @@ -3060,4 +3069,68 @@ [Bart]: I am an AI researcher. I love my job. """, }, + { + "title": "Multi-party speaker prediction", + "id": "multilight", + "path": "zoo:multilight/speaker/model", + "agent": "bart", + "task": "light_multiparty:SpeakerPrediction", + "project": "https://parl.ai/projects/multilight", + "description": ( + "Predicts the most plausible next speaker at any point during a three-player conversation in LIGHT." + ), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/speaker/model --task light_multiparty:SpeakerPrediction \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false + """ + ), + "result": """ + Report for light_multiparty:SpeakerPrediction: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 473.5 420.2 6130 .4140 54.44 14.59 11005 .1218 3.091 .3438 5e-10 3.091 45.09 0 0 1.41 .8462 .5256 423.3 6175 + """, # noqa: E501 + }, + { + "title": "Multi-party utterance only 3B", + "id": "multilight", + "path": "zoo:multilight/utterance_3B/model", + "agent": "bart", + "task": "light_multiparty", + "project": "https://parl.ai/projects/multilight", + "description": ("Utterance generation model for the multi-party LIGHT game."), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/utterance_3B/model --task light_multiparty \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false --add-speaker-to-context-end true + """ + ), + "result": """ + Report for light_multiparty: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 478.6 423.2 5603 .4249 56.58 13.24 11005 .7931 15.83 2.584 5e-07 15.83 209.6 0 0 13.25 .4308 0 439 5813 + """, # noqa: E501 + }, + { + "title": "Multi-party utterance only 400m", + "id": "multilight", + "path": "zoo:multilight/utterance_400m/model", + "agent": "bart", + "task": "light_multiparty", + "project": "https://parl.ai/projects/multilight", + "description": ( + "Utterance generation model for the multi-party LIGHT game. This is the smaller version of the original 3B model presented in the paper." + ), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/utterance_400m/model --task light_multiparty \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false --add-speaker-to-context-end true + """ + ), + "result": """ + Report for light_multiparty: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 477.6 422.6 7264 .4222 56.16 17.19 11005 .1204 15.83 2.714 1e-06 15.83 272.1 0 0 15.08 .4140 0 438.4 7536 + """, # noqa: E501 + }, ] diff --git a/parlai/zoo/multilight/__init__.py b/parlai/zoo/multilight/__init__.py new file mode 100644 index 00000000000..240697e3247 --- /dev/null +++ b/parlai/zoo/multilight/__init__.py @@ -0,0 +1,5 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. diff --git a/parlai/zoo/multilight/speaker.py b/parlai/zoo/multilight/speaker.py new file mode 100644 index 00000000000..a6b0d242aa5 --- /dev/null +++ b/parlai/zoo/multilight/speaker.py @@ -0,0 +1,17 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +The speaker prediction model for MultiLIGHT. +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'speaker' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utils.py b/parlai/zoo/multilight/utils.py new file mode 100644 index 00000000000..63e2f03579f --- /dev/null +++ b/parlai/zoo/multilight/utils.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. + +import os +from parlai.core.build_data import built, download_models, get_model_dir + +PROJECT_NAME = 'multilight' +VERSION = 'v1.0' + + +def maybe_download(model_type, datapath): + ddir = os.path.join(get_model_dir(datapath), PROJECT_NAME) + if not built(os.path.join(ddir, model_type), VERSION): + opt = {'datapath': datapath, 'model_type': model_type} + fnames = ['model.tar.gz'] + download_models(opt, fnames, PROJECT_NAME, version=VERSION, use_model_type=True) diff --git a/parlai/zoo/multilight/utterance_3B.py b/parlai/zoo/multilight/utterance_3B.py new file mode 100644 index 00000000000..f7b09c46a67 --- /dev/null +++ b/parlai/zoo/multilight/utterance_3B.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). + +2.7B parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_3B' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utterance_400m.py b/parlai/zoo/multilight/utterance_400m.py new file mode 100644 index 00000000000..3356562102f --- /dev/null +++ b/parlai/zoo/multilight/utterance_400m.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). + +400m parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_400m' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/projects/multilight/DatasetExample.png 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a/projects/multilight/README.md b/projects/multilight/README.md new file mode 100644 index 00000000000..37e5148927a --- /dev/null +++ b/projects/multilight/README.md @@ -0,0 +1,60 @@ +# Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models + +Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili + +## Abstract + +Current dialogue research primarily studies pairwise (two-party) conversations, and does not address the everyday setting where more than two speakers converse together. In this work, we both collect and evaluate multi-party conversations to study this more general case. We use the LIGHT environment to construct grounded conversations, where each participant has an assigned character to role-play. We thus evaluate the ability of language models to act as one or more characters in such conversations. Models require two skills that pairwise-trained models appear to lack: (1) being able to decide when to talk; (2) producing coherent utterances grounded on multiple characters. We compare models trained on our new dataset to existing pairwise-trained dialogue models, as well as large language models with few-shot prompting. We find that our new dataset, MultiLIGHT, which we will publicly release, can help bring significant improvements in the group setting. + +## Paper + +[Link](https://arxiv.org/abs/2304.13835) + + +## Data + +There are three types of teachers in this task. Two of them focus on the utterances and conversation content, the other one on predicting the next speaker. + +1. Utterances from all the characters: +```.sh +parlai dd -t light_multiparty --add-location-to-context true --add-personas-to-context true +``` + +2. Utterances from a single character only: +```.sh +parlai dd -t light_multiparty:FirstSpeakerTeacher --add-location-to-context true --add-personas-to-context true +``` + +3. Predicting the speaker for the next turn: +```.sh +parlai dd -t light_multiparty:SpeakerPredictionTeacher --add-location-to-context true --add-personas-to-context true +``` + +See the [agent](https://github.com/facebookresearch/ParlAI/blob/main/parlai/tasks/light_multiparty/agents.py) for up-to-date details on available teachers and flags. + +### Rendered sample +

+ +## Models + +We released three models from this project: + +* `zoo:multilight/utterance_3B/model`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (3B parameters size). +* `zoo:multilight/utterance_400m/model`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (400m parameters size). +* `zoo:multilight/speaker/model`: predicts the next speaker. + +`zoo:multilight/utterance_3B/model` and `zoo:multilight/speaker/model` were used in our human evals as reported in the paper. + +### Running models + +You can run these models with the existing ParlAI dataset, for example +```.sh +parlai eval_model -mf zoo:multilight/utterance_3B/model \ +--task light_multiparty --add-location-to-context true --add-personas-to-context true +``` + +Utterance models performance on all character teachers: +| utterance model | PPL | +|-------------------------------------|-------| +| zoo:multilight/utterance_3B/model | 13.25 | +| zoo:multilight/utterance_400m/model | 15.08 |