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a/experiments/generate_bg_titles/pyproject.toml +++ b/experiments/generate_bg_titles/pyproject.toml @@ -6,10 +6,10 @@ authors = ["Markus Shepherd "] readme = "README.md" [tool.poetry.dependencies] -python = "3.7.*" +python = "3.12.*" -tensorflow = "*" -textgenrnn = "*" +torch = "<2.3.0" +transformers = "*" tqdm = "*" [tool.poetry.group.dev.dependencies] @@ -21,10 +21,10 @@ ruff = "*" types-tqdm = "*" [tool.ruff] -target-version = "py37" +target-version = "py312" [tool.mypy] -python_version = "3.7" +python_version = "3.12" [build-system] requires = ["poetry-core"] -- GitLab From 7b93459b7e72743f7bbc0416e27bac9b6e87c35a Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 14:32:37 +0300 Subject: [PATCH 3/8] Added Data.py --- experiments/generate_bg_titles/.gitignore | 1 + experiments/generate_bg_titles/Data.py | 40 +++++++++++++++++++++++ 2 files changed, 41 insertions(+) create mode 100644 experiments/generate_bg_titles/.gitignore create mode 100644 experiments/generate_bg_titles/Data.py diff --git a/experiments/generate_bg_titles/.gitignore b/experiments/generate_bg_titles/.gitignore new file mode 100644 index 00000000..338733e3 --- /dev/null +++ b/experiments/generate_bg_titles/.gitignore @@ -0,0 +1 @@ +titles.txt diff --git a/experiments/generate_bg_titles/Data.py b/experiments/generate_bg_titles/Data.py new file mode 100644 index 00000000..bcee5f3a --- /dev/null +++ b/experiments/generate_bg_titles/Data.py @@ -0,0 +1,40 @@ +# --- +# jupyter: +# jupytext: +# formats: ipynb,py:percent +# text_representation: +# extension: .py +# format_name: percent +# format_version: '1.3' +# jupytext_version: 1.16.3 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +# %% +import json +import jupyter_black +from tqdm import tqdm + +jupyter_black.load() + +# %% +in_path = "../../../board-game-data/scraped/bgg_GameItem.jl" +out_path = "./titles.txt" + + +# %% +def load_titles(path): + with open(path, encoding="utf-8") as file: + for line in file: + game = json.loads(line) + if name := game.get("name"): + yield f"{name}\n" + + +# %% +titles = load_titles(path) +with open(out_path, mode="w", encoding="utf-8") as file: + file.writelines(tqdm(titles)) -- GitLab From ea143d592c72466e5349d58f06a50e190fbff9f8 Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 15:36:38 +0300 Subject: [PATCH 4/8] Update to dependencies --- experiments/generate_bg_titles/poetry.lock | 35 ++++++++++++++++++- experiments/generate_bg_titles/pyproject.toml | 3 +- 2 files changed, 36 insertions(+), 2 deletions(-) diff --git a/experiments/generate_bg_titles/poetry.lock b/experiments/generate_bg_titles/poetry.lock index 5cfd6387..8d9f39ef 100644 --- a/experiments/generate_bg_titles/poetry.lock +++ b/experiments/generate_bg_titles/poetry.lock @@ -1,5 +1,36 @@ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +[[package]] +name = "accelerate" +version = "0.32.1" +description = "Accelerate" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "accelerate-0.32.1-py3-none-any.whl", hash = "sha256:71fcf4be00872194071de561634268b71417d7f5b16b178e2fa76b6f117c52b0"}, + {file = "accelerate-0.32.1.tar.gz", hash = "sha256:3999acff0237cd0d4f9fd98b42d5a3163544777b53fc4f1eec886b77e992d177"}, +] + +[package.dependencies] +huggingface-hub = "*" +numpy = ">=1.17,<2.0.0" +packaging = ">=20.0" +psutil = "*" +pyyaml = "*" +safetensors = ">=0.3.1" +torch = ">=1.10.0" + +[package.extras] +deepspeed = ["deepspeed (<=0.14.0)"] +dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"] +rich = ["rich"] +sagemaker = ["sagemaker"] +test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] +test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"] +test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"] +testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"] + [[package]] name = "anyio" version = "4.4.0" @@ -2904,6 +2935,7 @@ files = [ ] [package.dependencies] +accelerate = {version = ">=0.21.0", optional = true, markers = "extra == \"torch\""} filelock = "*" huggingface-hub = ">=0.23.2,<1.0" numpy = ">=1.17,<2.0" @@ -2913,6 +2945,7 @@ regex = "!=2019.12.17" requests = "*" safetensors = ">=0.4.1" tokenizers = ">=0.19,<0.20" +torch = {version = "*", optional = true, markers = "extra == \"torch\""} tqdm = ">=4.27" [package.extras] @@ -3080,4 +3113,4 @@ test = ["websockets"] [metadata] lock-version = "2.0" python-versions = "3.12.*" -content-hash = "de6af6f46923af228d6306f9bc56be24bbf5060e3ead24ba226b640e8a630a8b" +content-hash = "001f6ca053d03472389db6d26792af9e9302fc2481cf60c5def17a44082333d5" diff --git a/experiments/generate_bg_titles/pyproject.toml b/experiments/generate_bg_titles/pyproject.toml index b1945872..02fe70b0 100644 --- a/experiments/generate_bg_titles/pyproject.toml +++ b/experiments/generate_bg_titles/pyproject.toml @@ -8,8 +8,9 @@ readme = "README.md" [tool.poetry.dependencies] python = "3.12.*" +accelerate = ">=0.32.0" torch = "<2.3.0" -transformers = "*" +transformers = {extras = ["torch"], version = "*"} tqdm = "*" [tool.poetry.group.dev.dependencies] -- GitLab From 7c0e37732d85edc007f6e027b5569539cc8c7e58 Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 15:37:05 +0300 Subject: [PATCH 5/8] first version of Model_1.py --- experiments/generate_bg_titles/Model_1.py | 132 ++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 experiments/generate_bg_titles/Model_1.py diff --git a/experiments/generate_bg_titles/Model_1.py b/experiments/generate_bg_titles/Model_1.py new file mode 100644 index 00000000..52f506ef --- /dev/null +++ b/experiments/generate_bg_titles/Model_1.py @@ -0,0 +1,132 @@ +# --- +# jupyter: +# jupytext: +# formats: ipynb,py:percent +# text_representation: +# extension: .py +# format_name: percent +# format_version: '1.3' +# jupytext_version: 1.16.3 +# kernelspec: +# display_name: Python 3 (ipykernel) +# language: python +# name: python3 +# --- + +# %% +import jupyter_black +import torch +from torch.utils.data import Dataset, DataLoader +from tqdm import tqdm +from transformers import AdamW, GPT2LMHeadModel, GPT2Tokenizer +import torch +from torch.utils.data import Dataset, DataLoader +from torch.nn.utils.rnn import pad_sequence +from transformers import GPT2Tokenizer, GPT2LMHeadModel, AdamW + +jupyter_black.load() + +# %% +# Load the tokenizer +tokenizer = GPT2Tokenizer.from_pretrained("gpt2") + +# Manually set the padding token +tokenizer.pad_token = tokenizer.eos_token + + +# Define a function to load and tokenize the dataset +def load_and_tokenize_dataset(file_path, tokenizer): + with open(file_path, "r", encoding="utf-8") as file: + lines = file.readlines() + # Tokenize the dataset + tokenized_dataset = [ + tensor + for line in tqdm(lines) + if ( + tensor := tokenizer(line.strip(), return_tensors="pt")["input_ids"].squeeze( + dim=0 + ) + ).numel() + and tensor.dim() == 1 + ] + return tokenized_dataset + + +# Load and tokenize your dataset +file_path = "titles.txt" +tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer) +len(tokenized_dataset) + + +# %% +def collate_fn(batch): + # Pad sequences to the same length + batch_padded = pad_sequence( + batch, + batch_first=True, + padding_value=tokenizer.pad_token_id, + ) + return batch_padded + + +class BoardGameTitlesDataset(Dataset): + def __init__(self, tokenized_dataset): + self.tokenized_dataset = tokenized_dataset + + def __len__(self): + return len(self.tokenized_dataset) + + def __getitem__(self, idx): + return self.tokenized_dataset[idx] + + +# Create a dataset and dataloader +dataset = BoardGameTitlesDataset(tokenized_dataset) +dataloader = DataLoader(dataset, batch_size=64, shuffle=True, collate_fn=collate_fn) + +# %% +# Load the model +model = GPT2LMHeadModel.from_pretrained('gpt2') + +# Set the model in training mode +model.train() + +# Define optimizer +optimizer = AdamW(model.parameters(), lr=5e-5) + +# Training loop +epochs = 3 +for epoch in range(epochs): + for batch in dataloader: + optimizer.zero_grad() + outputs = model(batch, labels=batch) + loss = outputs.loss + loss.backward() + optimizer.step() + print(f'Epoch: {epoch}, Loss: {loss.item()}') + +# Save the fine-tuned model +model.save_pretrained('./fine_tuned_gpt2_board_games') +tokenizer.save_pretrained('./fine_tuned_gpt2_board_games') + + +# %% +# Load the fine-tuned model and tokenizer +model = GPT2LMHeadModel.from_pretrained('./fine_tuned_gpt2_board_games') +tokenizer = GPT2Tokenizer.from_pretrained('./fine_tuned_gpt2_board_games') + +# Generate new board game titles +input_text = "Board Game Title: " +input_ids = tokenizer.encode(input_text, return_tensors='pt') +output = model.generate( + input_ids, + max_length=20, + num_return_sequences=5, + no_repeat_ngram_size=2, + early_stopping=True +) + +# Decode and print the generated titles +for i, sequence in enumerate(output): + print(f'Title {i+1}: {tokenizer.decode(sequence, skip_special_tokens=True)}') + -- GitLab From 3d8874c6f8716e567f5b5399351e948ef2db906d Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 17:19:17 +0300 Subject: [PATCH 6/8] Small changes --- experiments/generate_bg_titles/Model_1.py | 24 +++++++++++------------ 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/experiments/generate_bg_titles/Model_1.py b/experiments/generate_bg_titles/Model_1.py index 52f506ef..66e44482 100644 --- a/experiments/generate_bg_titles/Model_1.py +++ b/experiments/generate_bg_titles/Model_1.py @@ -106,27 +106,25 @@ for epoch in range(epochs): print(f'Epoch: {epoch}, Loss: {loss.item()}') # Save the fine-tuned model -model.save_pretrained('./fine_tuned_gpt2_board_games') -tokenizer.save_pretrained('./fine_tuned_gpt2_board_games') - +model.save_pretrained("./fine_tuned_gpt2_board_games") +tokenizer.save_pretrained("./fine_tuned_gpt2_board_games") # %% # Load the fine-tuned model and tokenizer -model = GPT2LMHeadModel.from_pretrained('./fine_tuned_gpt2_board_games') -tokenizer = GPT2Tokenizer.from_pretrained('./fine_tuned_gpt2_board_games') +model = GPT2LMHeadModel.from_pretrained("./fine_tuned_gpt2_board_games") +tokenizer = GPT2Tokenizer.from_pretrained("./fine_tuned_gpt2_board_games") # Generate new board game titles input_text = "Board Game Title: " -input_ids = tokenizer.encode(input_text, return_tensors='pt') +input_ids = tokenizer.encode(input_text, return_tensors="pt") output = model.generate( - input_ids, - max_length=20, - num_return_sequences=5, - no_repeat_ngram_size=2, - early_stopping=True + input_ids, + max_length=50, + num_return_sequences=1, + no_repeat_ngram_size=2, + early_stopping=True, ) # Decode and print the generated titles for i, sequence in enumerate(output): - print(f'Title {i+1}: {tokenizer.decode(sequence, skip_special_tokens=True)}') - + print(f"Title {i+1}: {tokenizer.decode(sequence, skip_special_tokens=True)}") -- GitLab From 6eb01ce5d9c6d6b64a7961bbc87bd0cda2ec07f5 Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 17:41:00 +0300 Subject: [PATCH 7/8] Small correction and introduce sample rate --- experiments/generate_bg_titles/Data.py | 2 +- experiments/generate_bg_titles/Model_1.py | 12 +++++++----- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/experiments/generate_bg_titles/Data.py b/experiments/generate_bg_titles/Data.py index bcee5f3a..2bed4b16 100644 --- a/experiments/generate_bg_titles/Data.py +++ b/experiments/generate_bg_titles/Data.py @@ -35,6 +35,6 @@ def load_titles(path): # %% -titles = load_titles(path) +titles = load_titles(in_path) with open(out_path, mode="w", encoding="utf-8") as file: file.writelines(tqdm(titles)) diff --git a/experiments/generate_bg_titles/Model_1.py b/experiments/generate_bg_titles/Model_1.py index 66e44482..efc9de86 100644 --- a/experiments/generate_bg_titles/Model_1.py +++ b/experiments/generate_bg_titles/Model_1.py @@ -16,6 +16,7 @@ # %% import jupyter_black import torch +import random from torch.utils.data import Dataset, DataLoader from tqdm import tqdm from transformers import AdamW, GPT2LMHeadModel, GPT2Tokenizer @@ -35,14 +36,15 @@ tokenizer.pad_token = tokenizer.eos_token # Define a function to load and tokenize the dataset -def load_and_tokenize_dataset(file_path, tokenizer): +def load_and_tokenize_dataset(file_path, tokenizer, sample_rate=1.0): with open(file_path, "r", encoding="utf-8") as file: lines = file.readlines() # Tokenize the dataset tokenized_dataset = [ tensor for line in tqdm(lines) - if ( + if random.random() <= sample_rate + and ( tensor := tokenizer(line.strip(), return_tensors="pt")["input_ids"].squeeze( dim=0 ) @@ -54,7 +56,7 @@ def load_and_tokenize_dataset(file_path, tokenizer): # Load and tokenize your dataset file_path = "titles.txt" -tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer) +tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer, 0.1) len(tokenized_dataset) @@ -86,7 +88,7 @@ dataloader = DataLoader(dataset, batch_size=64, shuffle=True, collate_fn=collate # %% # Load the model -model = GPT2LMHeadModel.from_pretrained('gpt2') +model = GPT2LMHeadModel.from_pretrained("gpt2") # Set the model in training mode model.train() @@ -103,7 +105,7 @@ for epoch in range(epochs): loss = outputs.loss loss.backward() optimizer.step() - print(f'Epoch: {epoch}, Loss: {loss.item()}') + print(f"Epoch: {epoch}, Loss: {loss.item()}") # Save the fine-tuned model model.save_pretrained("./fine_tuned_gpt2_board_games") -- GitLab From a8e75f963b140a9afa424f32de4c175f5c501474 Mon Sep 17 00:00:00 2001 From: Markus Schepke Date: Sun, 21 Jul 2024 19:02:36 +0300 Subject: [PATCH 8/8] Sample more titles --- experiments/generate_bg_titles/Model_1.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/experiments/generate_bg_titles/Model_1.py b/experiments/generate_bg_titles/Model_1.py index efc9de86..63d8b3d7 100644 --- a/experiments/generate_bg_titles/Model_1.py +++ b/experiments/generate_bg_titles/Model_1.py @@ -56,7 +56,7 @@ def load_and_tokenize_dataset(file_path, tokenizer, sample_rate=1.0): # Load and tokenize your dataset file_path = "titles.txt" -tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer, 0.1) +tokenized_dataset = load_and_tokenize_dataset(file_path, tokenizer, 1.0) len(tokenized_dataset) @@ -97,7 +97,7 @@ model.train() optimizer = AdamW(model.parameters(), lr=5e-5) # Training loop -epochs = 3 +epochs = 1 for epoch in range(epochs): for batch in dataloader: optimizer.zero_grad() @@ -117,12 +117,16 @@ model = GPT2LMHeadModel.from_pretrained("./fine_tuned_gpt2_board_games") tokenizer = GPT2Tokenizer.from_pretrained("./fine_tuned_gpt2_board_games") # Generate new board game titles -input_text = "Board Game Title: " +input_text = "Board Game Title in English: " input_ids = tokenizer.encode(input_text, return_tensors="pt") output = model.generate( input_ids, - max_length=50, - num_return_sequences=1, + max_length=20, + num_return_sequences=50, + do_sample=True, # Enable sampling + temperature=1.0, # Adjust the temperature to control randomness + top_k=50, # Use top-k sampling + top_p=0.95, # Use nucleus (top-p) sampling no_repeat_ngram_size=2, early_stopping=True, ) -- GitLab