From ffcc60e205f94d9a143226b0d80f4b8a15bd0c16 Mon Sep 17 00:00:00 2001 From: Dan Date: Tue, 28 Jan 2025 10:33:23 -0500 Subject: [PATCH] Trying to use Deepseek to help instead of ChatGPT --- .gitignore | 1 + config.py | 19 + main.py | 70 - tokenizer.json | 107920 ++++++++++++++++++++++++++++++++++++++++++++++ train.py | 159 + 5 files changed, 108099 insertions(+), 70 deletions(-) create mode 100644 config.py delete mode 100644 main.py create mode 100644 tokenizer.json create mode 100644 train.py diff --git a/.gitignore b/.gitignore index 15201ac..a480c19 100644 --- a/.gitignore +++ b/.gitignore @@ -169,3 +169,4 @@ cython_debug/ # PyPI configuration file .pypirc +/dataset_cache.bin \ No newline at end of file diff --git a/config.py b/config.py new file mode 100644 index 0000000..1f31c4d --- /dev/null +++ b/config.py @@ -0,0 +1,19 @@ +import os +import torch +from dotenv import load_dotenv + +load_dotenv() + + +class Config: + model_dim = int(os.getenv("MODEL_DIM", 256)) + num_layers = int(os.getenv("NUM_LAYERS", 4)) + num_heads = int(os.getenv("HEADS", 8)) + vocab_size = int(os.getenv("VOCAB_SIZE", 30000)) + context_size = int(os.getenv("CONTEXT_SIZE", 512)) + batch_size = int(os.getenv("BATCH_SIZE", 8)) + lr = float(os.getenv("LEARNING_RATE", 1e-4)) + device = "cuda" if torch.cuda.is_available() else "cpu" + + +cfg = Config() diff --git a/main.py b/main.py deleted file mode 100644 index 70d26b7..0000000 --- a/main.py +++ /dev/null @@ -1,70 +0,0 @@ -import discord -import requests -import json -import os -from dotenv import load_dotenv - -# Load environment variables from .env file -load_dotenv() - -# Replace with your bot token -BOT_TOKEN = os.getenv('DISCORD_TOKEN') - -# Ollama configuration -OLLAMA_API_URL = 'http://192.168.1.159:11434/api/generate' # Adjust if your Ollama setup is different - -# Set up the Discord client -intents = discord.Intents.default() -intents.messages = True -intents.message_content = True - -client = discord.Client(intents=intents) - - -# Function to query Ollama -def query_ollama(prompt): - payload = { - "prompt": prompt, - "model": "nollama/mythomax-l2-13b:Q4_K_M" # Replace with your Ollama model - } - try: - response = requests.post(OLLAMA_API_URL, json=payload, stream=True) - if response.status_code == 200: - collected_response = "" - # Stream and parse each line of JSON from the response - for line in response.iter_lines(decode_unicode=True): - if line.strip(): # Skip empty lines - try: - data = json.loads(line) # Parse each line as JSON - collected_response += data.get("response", "") - if data.get("done", False): - break - except json.JSONDecodeError as e: - print(f"Error decoding JSON line: {line}, Error: {e}") - return collected_response.strip() or "No response from model." - else: - return f"Error: {response.status_code} - {response.text}" - except requests.RequestException as e: - return f"Error connecting to Ollama: {str(e)}" - - -# Event for when the bot is ready -@client.event -async def on_ready(): - print(f'We have logged in as {client.user}') - - -# Event for when a message is sent -@client.event -async def on_message(message): - # Ignore the bot's own messages - if message.author == client.user: - return - - # Respond to all messages except those in DMs - if not isinstance(message.channel, discord.DMChannel): - response = query_ollama(message.content.strip()) - await message.channel.send(response) - -# Run the bot -client.run(BOT_TOKEN) diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..0923e5e --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,107920 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 1, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": null, + 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6674, + "蓾": 6675, + "蔑": 6676, + "蔓": 6677, + "蔡": 6678, + "蔣": 6679, + "蔲": 6680, + "蔵": 6681, + "蔷": 6682, + "蔽": 6683, + "蕃": 6684, + "蕉": 6685, + "蕗": 6686, + "蕙": 6687, + "蕡": 6688, + "蕭": 6689, + "蕴": 6690, + "蕾": 6691, + "薄": 6692, + "薇": 6693, + "薛": 6694, + "薦": 6695, + "薩": 6696, + "薪": 6697, + "薫": 6698, + "薬": 6699, + "薯": 6700, + "藉": 6701, + "藍": 6702, + "藏": 6703, + "藝": 6704, + "藣": 6705, + "藤": 6706, + "藥": 6707, + "藧": 6708, + "藩": 6709, + "藻": 6710, + "蘇": 6711, + "蘋": 6712, + "蘑": 6713, + "蘭": 6714, + "虎": 6715, + "虐": 6716, + "虑": 6717, + "處": 6718, + "虚": 6719, + "號": 6720, + "虫": 6721, + "虹": 6722, + "虽": 6723, + "虾": 6724, + "蚁": 6725, + "蚂": 6726, + "蚕": 6727, + "蛇": 6728, + "蛋": 6729, + "蛍": 6730, + "蛎": 6731, + "蛙": 6732, + "蛛": 6733, + "蛮": 6734, + "蛰": 6735, + "蛹": 6736, + "蜀": 6737, + "蜂": 6738, + "蜘": 6739, + "蜜": 6740, + "蜡": 6741, + "蝙": 6742, + "蝟": 6743, + "蝠": 6744, + "蝦": 6745, + "蝴": 6746, + "蝶": 6747, + "融": 6748, + "螞": 6749, + "螺": 6750, + "蟠": 6751, + "蟬": 6752, + "蟲": 6753, + "蟹": 6754, + "蟻": 6755, + "蟾": 6756, + "蠅": 6757, + "蠛": 6758, + "蠢": 6759, + "蠻": 6760, + "血": 6761, + "衆": 6762, + "行": 6763, + "術": 6764, + "衔": 6765, + "街": 6766, + "衛": 6767, + "衝": 6768, + "衡": 6769, + "衣": 6770, + "衤": 6771, + "补": 6772, + "表": 6773, + "衰": 6774, + "衷": 6775, + "袁": 6776, + "袋": 6777, + "袍": 6778, + "袒": 6779, + "袖": 6780, + "被": 6781, + "裁": 6782, + "裂": 6783, + "装": 6784, + "裏": 6785, + "裔": 6786, + "裕": 6787, + "裘": 6788, + "裙": 6789, + "補": 6790, + "裝": 6791, + "裡": 6792, + "裳": 6793, + "裴": 6794, + "裸": 6795, + "製": 6796, + "裾": 6797, + "複": 6798, + "褐": 6799, + "褒": 6800, + "襪": 6801, + "襲": 6802, + "西": 6803, + "覀": 6804, + "要": 6805, + "覃": 6806, + "覆": 6807, + "覇": 6808, + "見": 6809, + "規": 6810, + "視": 6811, + "覚": 6812, + "覧": 6813, + "親": 6814, + "観": 6815, + "覺": 6816, + "覽": 6817, + "觀": 6818, + "见": 6819, + "观": 6820, + "规": 6821, + "视": 6822, + "览": 6823, + "觉": 6824, + "角": 6825, + "解": 6826, + "触": 6827, + "言": 6828, + "訂": 6829, + "計": 6830, + "訊": 6831, + "討": 6832, + "訓": 6833, + "託": 6834, + "記": 6835, + "訝": 6836, + "訟": 6837, + "訪": 6838, + "設": 6839, + "許": 6840, + "訳": 6841, + "訴": 6842, + "診": 6843, + "註": 6844, + "証": 6845, + "詐": 6846, + "評": 6847, + "詞": 6848, + "詠": 6849, + "試": 6850, + "詭": 6851, + "詮": 6852, + "詰": 6853, + "話": 6854, + "該": 6855, + "詳": 6856, + "詹": 6857, + "誇": 6858, + "誉": 6859, + "誌": 6860, + "認": 6861, + "誐": 6862, + "誓": 6863, + "誕": 6864, + "誘": 6865, + "語": 6866, + "誠": 6867, + "誤": 6868, + "說": 6869, + "説": 6870, + "読": 6871, + "誰": 6872, + "課": 6873, + "調": 6874, + "談": 6875, + "請": 6876, + "諏": 6877, + "論": 6878, + "諜": 6879, + "諦": 6880, + "諳": 6881, + "諸": 6882, + "諺": 6883, + "諾": 6884, + "謀": 6885, + "謂": 6886, + "謉": 6887, + "謎": 6888, + "謙": 6889, + "講": 6890, + "謝": 6891, + "謡": 6892, + "謨": 6893, + "證": 6894, + "識": 6895, + "譜": 6896, + "警": 6897, + "譬": 6898, + "譯": 6899, + "議": 6900, + "譲": 6901, + "護": 6902, + "讃": 6903, + "變": 6904, + "讓": 6905, + "讚": 6906, + "计": 6907, + "订": 6908, + "认": 6909, + "讨": 6910, + "让": 6911, + "训": 6912, + "议": 6913, + "讯": 6914, + "记": 6915, + "讲": 6916, + "讶": 6917, + "许": 6918, + "论": 6919, + "设": 6920, + "访": 6921, + "诀": 6922, + "证": 6923, + "评": 6924, + "识": 6925, + "诉": 6926, + "诊": 6927, + "词": 6928, + "试": 6929, + "诚": 6930, + "话": 6931, + "诡": 6932, + "询": 6933, + "该": 6934, + "详": 6935, + "语": 6936, + "误": 6937, + "诲": 6938, + "说": 6939, + "诵": 6940, + "诶": 6941, + "请": 6942, + "诸": 6943, + "诺": 6944, + "读": 6945, + "课": 6946, + "谁": 6947, + "调": 6948, + "谈": 6949, + "谋": 6950, + "谎": 6951, + "谐": 6952, + "谓": 6953, + "谢": 6954, + "谣": 6955, + "谨": 6956, + "谩": 6957, + "谬": 6958, + "谱": 6959, + "谴": 6960, + "谷": 6961, + "谿": 6962, + "豆": 6963, + "豊": 6964, + "豌": 6965, + "豐": 6966, + "豚": 6967, + "象": 6968, + "豪": 6969, + "豬": 6970, + "豸": 6971, + "豹": 6972, + "貌": 6973, + "貍": 6974, + "貓": 6975, + "貝": 6976, + "貞": 6977, + "負": 6978, + "財": 6979, + "貢": 6980, + "貧": 6981, + "貨": 6982, + "販": 6983, + "貪": 6984, + "貫": 6985, + "責": 6986, + "貰": 6987, + "貴": 6988, + "買": 6989, + "費": 6990, + "貼": 6991, + "貿": 6992, + "賀": 6993, + "資": 6994, + "賈": 6995, + "賊": 6996, + "賑": 6997, + "賓": 6998, + "賛": 6999, + "賜": 7000, + "賞": 7001, + "賢": 7002, + "賣": 7003, + "賦": 7004, + "質": 7005, + "賬": 7006, + "賭": 7007, + "賴": 7008, + "購": 7009, + "賽": 7010, + "贅": 7011, + "贈": 7012, + "贝": 7013, + "负": 7014, + "贡": 7015, + "财": 7016, + "责": 7017, + "贤": 7018, + "败": 7019, + "账": 7020, + "货": 7021, + "质": 7022, + "贩": 7023, + "贪": 7024, + "贬": 7025, + "购": 7026, + "贯": 7027, + "贱": 7028, + "贴": 7029, + "贵": 7030, + "贸": 7031, + "费": 7032, + "贼": 7033, + "贾": 7034, + "资": 7035, + "赋": 7036, + "赌": 7037, + "赏": 7038, + "赚": 7039, + "赛": 7040, + "赞": 7041, + "赠": 7042, + "赢": 7043, + "赤": 7044, + "赦": 7045, + "走": 7046, + "赵": 7047, + "赶": 7048, + "起": 7049, + "超": 7050, + "越": 7051, + "趋": 7052, + "趙": 7053, + "趣": 7054, + "足": 7055, + "趴": 7056, + "跃": 7057, + "跋": 7058, + "跑": 7059, + "距": 7060, + "跟": 7061, + "跡": 7062, + "跣": 7063, + "跨": 7064, + "路": 7065, + "跳": 7066, + "践": 7067, + "踊": 7068, + "踏": 7069, + "踒": 7070, + "踢": 7071, + "踪": 7072, + "蹟": 7073, + "蹦": 7074, + "蹬": 7075, + "蹲": 7076, + "蹴": 7077, + "躁": 7078, + "躇": 7079, + "躊": 7080, + "躍": 7081, + "身": 7082, + "躯": 7083, + "躱": 7084, + "車": 7085, + "軌": 7086, + "軍": 7087, + "軒": 7088, + "軟": 7089, + "転": 7090, + "軽": 7091, + "較": 7092, + "載": 7093, + "輔": 7094, + "輕": 7095, + "輝": 7096, + "輟": 7097, + "輩": 7098, + "輪": 7099, + "輯": 7100, + "輸": 7101, + "轉": 7102, + "轟": 7103, + "车": 7104, + "轨": 7105, + "轩": 7106, + "转": 7107, + "轮": 7108, + "软": 7109, + "轻": 7110, + "载": 7111, + "较": 7112, + "辅": 7113, + "辆": 7114, + "辈": 7115, + "辉": 7116, + "辑": 7117, + "输": 7118, + "辖": 7119, + "辛": 7120, + "辞": 7121, + "辟": 7122, + "辣": 7123, + "辤": 7124, + "辦": 7125, + "辨": 7126, + "辩": 7127, + "辭": 7128, + "辯": 7129, + "辰": 7130, + "辱": 7131, + "農": 7132, + "辶": 7133, + "边": 7134, + "辺": 7135, + "込": 7136, + "达": 7137, + "辿": 7138, + "迂": 7139, + "迄": 7140, + "迅": 7141, + "过": 7142, + "迈": 7143, + "迎": 7144, + "运": 7145, + "近": 7146, + "返": 7147, + "还": 7148, + "这": 7149, + "进": 7150, + "远": 7151, + "违": 7152, + "连": 7153, + "迟": 7154, + "迤": 7155, + "迦": 7156, + "迪": 7157, + "迫": 7158, + "迮": 7159, + "述": 7160, + "迳": 7161, + "迷": 7162, + "迹": 7163, + "追": 7164, + "退": 7165, + "送": 7166, + "适": 7167, + "逃": 7168, + "逆": 7169, + "选": 7170, + "透": 7171, + "逐": 7172, + "递": 7173, + "逓": 7174, + "途": 7175, + "逗": 7176, + "這": 7177, + "通": 7178, + "逛": 7179, + "速": 7180, + "造": 7181, + "逢": 7182, + "連": 7183, + "逮": 7184, + "週": 7185, + "進": 7186, + "逶": 7187, + "逸": 7188, + "逻": 7189, + "逼": 7190, + "遂": 7191, + "遅": 7192, + "遇": 7193, + "遊": 7194, + "運": 7195, + "遍": 7196, + "過": 7197, + "遐": 7198, + "道": 7199, + "達": 7200, + "違": 7201, + "遗": 7202, + "遙": 7203, + "遜": 7204, + "遞": 7205, + "遠": 7206, + "遡": 7207, + "遣": 7208, + "遥": 7209, + "適": 7210, + "遭": 7211, + "遮": 7212, + "遲": 7213, + "遵": 7214, + "遷": 7215, + "選": 7216, + "遺": 7217, + "避": 7218, + "邀": 7219, + "還": 7220, + "邊": 7221, + "邏": 7222, + "邑": 7223, + "邓": 7224, + "邢": 7225, + "那": 7226, + "邦": 7227, + "邩": 7228, + "邪": 7229, + "邮": 7230, + "邱": 7231, + "邳": 7232, + "邸": 7233, + "邽": 7234, + "郁": 7235, + "郂": 7236, + "郃": 7237, + "郆": 7238, + "郊": 7239, + "郌": 7240, + "郍": 7241, + "郎": 7242, + "郑": 7243, + "郝": 7244, + "郡": 7245, + "部": 7246, + "郭": 7247, + "郷": 7248, + "都": 7249, + "鄂": 7250, + "鄉": 7251, + "鄒": 7252, + "鄙": 7253, + "鄧": 7254, + "鄭": 7255, + "酉": 7256, + "配": 7257, + "酒": 7258, + "酔": 7259, + "酢": 7260, + "酬": 7261, + "酱": 7262, + "酵": 7263, + "酷": 7264, + "酸": 7265, + "醂": 7266, + "醉": 7267, + "醋": 7268, + "醒": 7269, + "醜": 7270, + "醤": 7271, + "醫": 7272, + "醬": 7273, + "醸": 7274, + "釆": 7275, + "采": 7276, + "釈": 7277, + "释": 7278, + "釋": 7279, + "里": 7280, + "重": 7281, + "野": 7282, + "量": 7283, + "金": 7284, + "釗": 7285, + "釜": 7286, + "針": 7287, + "釣": 7288, + "鈉": 7289, + "鈍": 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8291, + "뵙": 8292, + "부": 8293, + "북": 8294, + "분": 8295, + "불": 8296, + "붉": 8297, + "붙": 8298, + "뷔": 8299, + "뷰": 8300, + "브": 8301, + "븐": 8302, + "블": 8303, + "비": 8304, + "빈": 8305, + "빌": 8306, + "빙": 8307, + "빚": 8308, + "빛": 8309, + "빠": 8310, + "빤": 8311, + "빨": 8312, + "빵": 8313, + "뻣": 8314, + "뻥": 8315, + "뽀": 8316, + "뽑": 8317, + "뾳": 8318, + "뿐": 8319, + "뿔": 8320, + "뿜": 8321, + "쁘": 8322, + "쁜": 8323, + "삐": 8324, + "사": 8325, + "삭": 8326, + "산": 8327, + "살": 8328, + "삶": 8329, + "삼": 8330, + "샀": 8331, + "상": 8332, + "새": 8333, + "색": 8334, + "샌": 8335, + "샘": 8336, + "생": 8337, + "서": 8338, + "석": 8339, + "선": 8340, + "설": 8341, + "섬": 8342, + "섭": 8343, + "섯": 8344, + "섰": 8345, + "성": 8346, + "세": 8347, + "센": 8348, + "셈": 8349, + "셉": 8350, + "셔": 8351, + "션": 8352, + "셧": 8353, + "셨": 8354, + "소": 8355, + "속": 8356, + "손": 8357, + "솔": 8358, + "솟": 8359, + "송": 8360, + "쇄": 8361, + "쇠": 8362, + "쇼": 8363, + "수": 8364, + "숙": 8365, + "순": 8366, + "술": 8367, + "숨": 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8445, + "에": 8446, + "엑": 8447, + "엔": 8448, + "엘": 8449, + "엣": 8450, + "여": 8451, + "역": 8452, + "연": 8453, + "열": 8454, + "염": 8455, + "엿": 8456, + "였": 8457, + "영": 8458, + "옆": 8459, + "예": 8460, + "옛": 8461, + "오": 8462, + "옥": 8463, + "온": 8464, + "올": 8465, + "옮": 8466, + "옴": 8467, + "옵": 8468, + "옷": 8469, + "옹": 8470, + "와": 8471, + "완": 8472, + "왔": 8473, + "왕": 8474, + "왜": 8475, + "외": 8476, + "요": 8477, + "욕": 8478, + "용": 8479, + "우": 8480, + "욱": 8481, + "운": 8482, + "울": 8483, + "움": 8484, + "웁": 8485, + "웃": 8486, + "웅": 8487, + "워": 8488, + "원": 8489, + "월": 8490, + "웟": 8491, + "웠": 8492, + "웨": 8493, + "웬": 8494, + "웹": 8495, + "윁": 8496, + "위": 8497, + "윈": 8498, + "윗": 8499, + "윙": 8500, + "유": 8501, + "육": 8502, + "윤": 8503, + "율": 8504, + "으": 8505, + "은": 8506, + "을": 8507, + "음": 8508, + "읍": 8509, + "응": 8510, + "의": 8511, + "이": 8512, + "익": 8513, + "인": 8514, + "일": 8515, + "읽": 8516, + "임": 8517, + "입": 8518, + "잇": 8519, + "있": 8520, + "잉": 8521, + "잊": 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8599, + "찍": 8600, + "찔": 8601, + "찝": 8602, + "차": 8603, + "착": 8604, + "찬": 8605, + "찮": 8606, + "찰": 8607, + "참": 8608, + "창": 8609, + "찾": 8610, + "채": 8611, + "책": 8612, + "챔": 8613, + "챙": 8614, + "첆": 8615, + "처": 8616, + "척": 8617, + "천": 8618, + "철": 8619, + "첨": 8620, + "첩": 8621, + "첫": 8622, + "청": 8623, + "체": 8624, + "쳐": 8625, + "쳤": 8626, + "초": 8627, + "촌": 8628, + "촛": 8629, + "총": 8630, + "최": 8631, + "추": 8632, + "축": 8633, + "춘": 8634, + "출": 8635, + "춤": 8636, + "충": 8637, + "춰": 8638, + "취": 8639, + "츄": 8640, + "츠": 8641, + "측": 8642, + "층": 8643, + "치": 8644, + "칙": 8645, + "친": 8646, + "칠": 8647, + "침": 8648, + "칩": 8649, + "칭": 8650, + "카": 8651, + "칸": 8652, + "캐": 8653, + "캠": 8654, + "캡": 8655, + "커": 8656, + "컨": 8657, + "컬": 8658, + "컴": 8659, + "케": 8660, + "켓": 8661, + "켜": 8662, + "켰": 8663, + "코": 8664, + "콘": 8665, + "콜": 8666, + "콤": 8667, + "콧": 8668, + "콩": 8669, + "콸": 8670, + "쾅": 8671, + "쾌": 8672, + "쿠": 8673, + "쿨": 8674, + "쿵": 8675, + "퀄": 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17131, + "surprising": 17132, + "i.e.": 17133, + "Rick": 17134, + "motion": 17135, + "communications": 17136, + "scenario": 17137, + "rage": 17138, + "Foreign": 17139, + "Academ": 17140, + "Turkey": 17141, + "somewhere": 17142, + "updated": 17143, + "storage": 17144, + "things.": 17145, + "chairman": 17146, + "$10": 17147, + "interpret": 17148, + "phr": 17149, + "mechanism": 17150, + "1,000": 17151, + "founded": 17152, + "discipl": 17153, + "HS": 17154, + "condem": 17155, + "None": 17156, + "jur": 17157, + "Major": 17158, + "F.": 17159, + "km": 17160, + "fighters": 17161, + "Hop": 17162, + "LGB": 17163, + "drivers": 17164, + "Tony": 17165, + "Global": 17166, + "zo": 17167, + "stack": 17168, + "scape": 17169, + "98": 17170, + "coalition": 17171, + "desper": 17172, + "$3": 17173, + "Joseph": 17174, + "fron": 17175, + "========": 17176, + "acle": 17177, + "activists": 17178, + "allegations": 17179, + "extensive": 17180, + "suffering": 17181, + "tent": 17182, + "chosen": 17183, + "films": 17184, + "Pack": 17185, + "No,": 17186, + "newspaper": 17187, + "tion": 17188, + "terrorism": 17189, + "Through": 17190, + "ht": 17191, + "ii": 17192, + "divers": 17193, + "Minnes": 17194, + "compreh": 17195, + "ruled": 17196, + "Live": 17197, + "seriously": 17198, + "addition,": 17199, + "2004": 17200, + "conspir": 17201, + "assume": 17202, + "cin": 17203, + "Southern": 17204, + "represented": 17205, + "encourage": 17206, + "area.": 17207, + "expo": 17208, + "starter": 17209, + "writes": 17210, + "coll": 17211, + "Bell": 17212, + "oney": 17213, + "dry": 17214, + "bat": 17215, + "n.": 17216, + "Wilson": 17217, + "harder": 17218, + "ula": 17219, + "UL": 17220, + "elimin": 17221, + "ist.": 17222, + "Rose": 17223, + "(I": 17224, + "bio": 17225, + "Business": 17226, + "Fall": 17227, + "gall": 17228, + "prise": 17229, + "authors": 17230, + "stable": 17231, + "supports": 17232, + "multi-": 17233, + "Bol": 17234, + "adapt": 17235, + "primarily": 17236, + "recognize": 17237, + "Spain": 17238, 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"forth": 17294, + "resulting": 17295, + "bers,": 17296, + "ading": 17297, + "outcome": 17298, + "16.": 17299, + "ours": 17300, + "TP": 17301, + "Us": 17302, + "side,": 17303, + "abortion": 17304, + "Linux": 17305, + "territor": 17306, + "power.": 17307, + "Italian": 17308, + "recovery": 17309, + "vard": 17310, + "ie,": 17311, + "wan": 17312, + "suddenly": 17313, + "community.": 17314, + "successfully": 17315, + "chester": 17316, + "K.": 17317, + "cases,": 17318, + "terrible": 17319, + "Food": 17320, + "Championship": 17321, + "thousand": 17322, + "rol": 17323, + "hidden": 17324, + "loop": 17325, + "Robin": 17326, + "narrative": 17327, + "obtained": 17328, + "amber": 17329, + "—the": 17330, + "Given": 17331, + "fashion": 17332, + "Iow": 17333, + "produc": 17334, + "parliament": 17335, + "’.": 17336, + "succeed": 17337, + "constitutional": 17338, + "thew": 17339, + "Simp": 17340, + "Kr": 17341, + "(\"": 17342, + "isan": 17343, + "gate": 17344, + "aded": 17345, + "anticip": 17346, + "incredibly": 17347, + "util": 17348, + "700": 17349, + "worldwide": 17350, + "ty.": 17351, + "expression": 17352, + "reduc": 17353, + "crucial": 17354, + "T-": 17355, + "ideal": 17356, + "doctors": 17357, + "icip": 17358, + "10-": 17359, + "shire": 17360, + "chick": 17361, + "resent": 17362, + "stuck": 17363, + "compens": 17364, + "ists.": 17365, + "itself.": 17366, + "2013.": 17367, + "Tar": 17368, + "iel": 17369, + "rational": 17370, + "physic": 17371, + "d.": 17372, + "incredible": 17373, + "guns": 17374, + "own.": 17375, + "Bry": 17376, + "vation": 17377, + "“What": 17378, + "keeps": 17379, + "baseball": 17380, + "things,": 17381, + "participants": 17382, + "transform": 17383, + "children.": 17384, + "domain": 17385, + "“But": 17386, + "pread": 17387, + "Mir": 17388, + "evit": 17389, + "existence": 17390, + "colleagues": 17391, + "satell": 17392, + "customer": 17393, + "First,": 17394, + "Script": 17395, + "regulation": 17396, + "ashed": 17397, + "elsewhere": 17398, + "afr": 17399, + "returns": 17400, + "riot": 17401, + "Ow": 17402, + "ende": 17403, + "kins": 17404, + "volume": 17405, + "contributed": 17406, + "spoken": 17407, + "inning": 17408, + "finds": 17409, + "manip": 17410, + "rein": 17411, + "province": 17412, + "es.”": 17413, + "Monday,": 17414, + "neutral": 17415, + "30,": 17416, + "history,": 17417, + "cogn": 17418, + "awesome": 17419, + "Shar": 17420, + "syl": 17421, + "component": 17422, + "degre": 17423, + "ant.": 17424, + "meat": 17425, + "cannab": 17426, + "mixed": 17427, + "succes": 17428, + "RC": 17429, + "organized": 17430, + "veteran": 17431, + "objects": 17432, + "scow": 17433, + "returning": 17434, + "Tem": 17435, + "Judge": 17436, + "approval": 17437, + "Northern": 17438, + "wins": 17439, + "Name": 17440, + "surveillance": 17441, + "champion": 17442, + "Sir": 17443, + "inspir": 17444, + "Disney": 17445, + "Bon": 17446, + "amounts": 17447, + "sample": 17448, + "gard": 17449, + "Greek": 17450, + "Oak": 17451, + "2012.": 17452, + "drawing": 17453, + "GA": 17454, + "Davis": 17455, + "Fair": 17456, + "Vi": 17457, + "falling": 17458, + "depending": 17459, + "Cir": 17460, + "Keep": 17461, + "division": 17462, + "newly": 17463, + "honor": 17464, + "Wel": 17465, + "horri": 17466, + "communication": 17467, + "library": 17468, + "pha": 17469, + "play.": 17470, + "elig": 17471, + "rence": 17472, + "room.": 17473, + "Cross": 17474, + "tied": 17475, + "0x": 17476, + "other.": 17477, + "Use": 17478, + "brid": 17479, + "cock": 17480, + "fighter": 17481, + "))": 17482, + "scand": 17483, + "elite": 17484, + "America,": 17485, + "cited": 17486, + "flying": 17487, + "Kat": 17488, + "they’ve": 17489, + "scan": 17490, + "esh": 17491, + "Using": 17492, + "lawyer": 17493, + "below.": 17494, + "dated": 17495, + "medium": 17496, + "capture": 17497, + "Finally,": 17498, + "generated": 17499, + "magazine": 17500, + "recall": 17501, + "engage": 17502, + "am,": 17503, + "institutions": 17504, + "ities,": 17505, + "NAT": 17506, + "itar": 17507, + "historic": 17508, + "izon": 17509, + "WE": 17510, + "Prote": 17511, + "Oreg": 17512, + "lights": 17513, + "extrem": 17514, + "adelph": 17515, + "extent": 17516, + "money,": 17517, + "Eastern": 17518, + "endor": 17519, + "Has": 17520, + "bers.": 17521, + "attacked": 17522, + "Wiscons": 17523, + "Indeed,": 17524, + "admit": 17525, + "SD": 17526, + "2017.": 17527, + "ccer": 17528, + "Mah": 17529, + "owed": 17530, + "hole": 17531, + "crimes": 17532, + "laid": 17533, + "permanent": 17534, + "Season": 17535, + "nobody": 17536, + "esy": 17537, + "academic": 17538, + "electronic": 17539, + "sters": 17540, + "worried": 17541, + "ways,": 17542, + "spons": 17543, + "yield": 17544, + "86": 17545, + "songs": 17546, + "Bowl": 17547, + "rub": 17548, + "aimed": 17549, + "privile": 17550, + "��": 17551, + "ented": 17552, + "Philadelph": 17553, + "comic": 17554, + "imper": 17555, + "bitcoin": 17556, + "exposed": 17557, + "reduction": 17558, + "airport": 17559, + "O'": 17560, + "ouch": 17561, + "8-": 17562, + "reaching": 17563, + "ourselves": 17564, + "observed": 17565, + "hibition": 17566, + "Cho": 17567, + "sla": 17568, + "tab": 17569, + "9]": 17570, + "perce": 17571, + "ed,”": 17572, + "children,": 17573, + "Bul": 17574, + "rely": 17575, + "Current": 17576, + "magic": 17577, + "Gall": 17578, + "enor": 17579, + "zero": 17580, + "explore": 17581, + "end.": 17582, + "sures": 17583, + "valuable": 17584, + "continuing": 17585, + "quarters": 17586, + "Dri": 17587, + "cyber": 17588, + "Zeal": 17589, + "CL": 17590, + "brut": 17591, + "automatically": 17592, + "Alab": 17593, + "excess": 17594, + "strict": 17595, + "suspic": 17596, + "thick": 17597, + "Obama’s": 17598, + "\"a": 17599, + "Contro": 17600, + "gorith": 17601, + "spark": 17602, + "before,": 17603, + "group,": 17604, + "formal": 17605, + "buildings": 17606, + "toler": 17607, + "constantly": 17608, + "/or": 17609, + "Command": 17610, + "afraid": 17611, + "Station": 17612, + "somebody": 17613, + "waste": 17614, + "good.": 17615, + "entit": 17616, + "Cat": 17617, + "agric": 17618, + "mainly": 17619, + "atom": 17620, + "visited": 17621, + "investors": 17622, + "16,": 17623, + "urally": 17624, + "End": 17625, + "Snow": 17626, + "eman": 17627, + "Bron": 17628, + "Moscow": 17629, + "posts": 17630, + "topic": 17631, + "geo": 17632, + "raw": 17633, + "Sl": 17634, + "Build": 17635, + "zing": 17636, + "forum": 17637, + "Jay": 17638, + "aspects": 17639, + "partnership": 17640, + "houses": 17641, + "t-": 17642, + "deaths": 17643, + "half-": 17644, + "family,": 17645, + "enses": 17646, + "Cost": 17647, + "matters": 17648, + "intense": 17649, + "CD": 17650, + "Viet": 17651, + "Music": 17652, + "distr": 17653, + "Whether": 17654, + "76": 17655, + "agricult": 17656, + "Son": 17657, + "Juli": 17658, + "McCain": 17659, + "Six": 17660, + "nations": 17661, + "Wednesday,": 17662, + "country’s": 17663, + "Offic": 17664, + "($": 17665, + "ences,": 17666, + "Radio": 17667, + "Log": 17668, + "Today,": 17669, + "moments": 17670, + "WS": 17671, + "pump": 17672, + "pod": 17673, + "engaged": 17674, + "strain": 17675, + "wast": 17676, + "%)": 17677, + "Sn": 17678, + "Royal": 17679, + "mate": 17680, + "practices": 17681, + "issue.": 17682, + "Oh,": 17683, + "Coast": 17684, + "propag": 17685, + "aggressive": 17686, + "Avenue": 17687, + "personally": 17688, + "Event": 17689, + "registered": 17690, + "uncertain": 17691, + "ensus": 17692, + "explains": 17693, + "intr": 17694, + "punch": 17695, + "Bab": 17696, + "Having": 17697, + "Rand": 17698, + "X-": 17699, + "ils": 17700, + "re,": 17701, + "better.": 17702, + "functions": 17703, + "TE": 17704, + "acy,": 17705, + "NA": 17706, + "taught": 17707, + "artic": 17708, + "downtown": 17709, + "Num": 17710, + "cig": 17711, + "Thursday,": 17712, + "Ms": 17713, + "Several": 17714, + "drew": 17715, + "missions": 17716, + "properly": 17717, + "Jews": 17718, + "rolling": 17719, + "ceremon": 17720, + "urb": 17721, + "elections": 17722, + "surviv": 17723, + "Cred": 17724, + "amp;amp;": 17725, + "liver": 17726, + "illing": 17727, + "72": 17728, + "weird": 17729, + "ABC": 17730, + "Dev": 17731, + "personnel": 17732, + "field,": 17733, + "shit": 17734, + "ities.": 17735, + "Was": 17736, + "women,": 17737, + "theme": 17738, + "championship": 17739, + "threatened": 17740, + "Houston": 17741, + "rose": 17742, + "trading": 17743, + "History": 17744, + "neuro": 17745, + "pover": 17746, + "parking": 17747, + "first,": 17748, + "producing": 17749, + "18,": 17750, + "tournament": 17751, + "second-": 17752, + "inevit": 17753, + "Kent": 17754, + "Lyn": 17755, + "marks": 17756, + "Spring": 17757, + "forcing": 17758, + "17,": 17759, + "wif": 17760, + "myth": 17761, + "seasons": 17762, + "acceler": 17763, + "veget": 17764, + "timore": 17765, + "decline": 17766, + "movies": 17767, + "pill": 17768, + "yes,": 17769, + "Gun": 17770, + "attended": 17771, + "ensity": 17772, + "Gard": 17773, + "sensitive": 17774, + "Ly": 17775, + "impressive": 17776, + "1st": 17777, + "family.": 17778, + "Bad": 17779, + "and/or": 17780, + "barr": 17781, + "issions": 17782, + "Mayor": 17783, + "Sound": 17784, + "hes": 17785, + "democratic": 17786, + "blast": 17787, + "unlike": 17788, + "threats": 17789, + "fis": 17790, + "protesters": 17791, + "asset": 17792, + "Kelly": 17793, + "exciting": 17794, + "Metro": 17795, + "jack": 17796, + "iously": 17797, + "accurate": 17798, + "fought": 17799, + "iped": 17800, + "taxpay": 17801, + "Conne": 17802, + "protests": 17803, + "browser": 17804, + "chest": 17805, + "Turkish": 17806, + "unusual": 17807, + "genu": 17808, + "Patrick": 17809, + "everywhere": 17810, + "settle": 17811, + "Lim": 17812, + "rop": 17813, + "equivalent": 17814, + "relief": 17815, + "weren’t": 17816, + "194": 17817, + "euro": 17818, + "right-": 17819, + "Ukraine": 17820, + "filter": 17821, + "Record": 17822, + "(as": 17823, + "eith": 17824, + "crete": 17825, + "with.": 17826, + "voc": 17827, + "data.": 17828, + "ili": 17829, + "Henry": 17830, + "-out": 17831, + "exposure": 17832, + "prominent": 17833, + "icted": 17834, + "powered": 17835, + "Ale": 17836, + "lined": 17837, + "14,": 17838, + "Yes": 17839, + "Anth": 17840, + "Rub": 17841, + "Field": 17842, + "Code": 17843, + "Death": 17844, + "Hur": 17845, + "warrant": 17846, + "oll": 17847, + "ola": 17848, + "materials": 17849, + "slowly": 17850, + "thentic": 17851, + "G.": 17852, + "Cit": 17853, + "Review": 17854, + "market.": 17855, + "BE": 17856, + "Core": 17857, + "perfectly": 17858, + "mart": 17859, + "destruction": 17860, + "Baltimore": 17861, + "counsel": 17862, + "ATE": 17863, + "Kingdom": 17864, + "Bernie": 17865, + "legitimate": 17866, + "coffee": 17867, + "Battle": 17868, + "$100": 17869, + "\"In": 17870, + "use.": 17871, + "experience.": 17872, + "explicit": 17873, + "13,": 17874, + "peak": 17875, + "practical": 17876, + "Jordan": 17877, + "teaching": 17878, + "power,": 17879, + "Wars": 17880, + "\"There": 17881, + "Cook": 17882, + "74": 17883, + "Bear": 17884, + "containing": 17885, + "Matthew": 17886, + "avo": 17887, + "Action": 17888, + "Las": 17889, + "regardless": 17890, + "NS": 17891, + "Trump,": 17892, + "insight": 17893, + "liked": 17894, + "others,": 17895, + "hitting": 17896, + "mole": 17897, + "city.": 17898, + "Harry": 17899, + "liquid": 17900, + "unfortun": 17901, + "tast": 17902, + "frag": 17903, + "define": 17904, + "interface": 17905, + "Gul": 17906, + "Related": 17907, + "careful": 17908, + "awn": 17909, + "sister": 17910, + "regularly": 17911, + "result,": 17912, + "ator,": 17913, + "elines": 17914, + "haz": 17915, + "Anton": 17916, + "(The": 17917, + "stro": 17918, + "k.": 17919, + "evening": 17920, + "Os": 17921, + "las": 17922, + "25,": 17923, + "resulted": 17924, + "gonna": 17925, + "cuit": 17926, + "borrow": 17927, + "facts": 17928, + "ranked": 17929, + "room,": 17930, + "classes": 17931, + "enjoyed": 17932, + "deliber": 17933, + "\"A": 17934, + "Ted": 17935, + "sop": 17936, + "together,": 17937, + "pse": 17938, + "8]": 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17991, + "tribut": 17992, + "adds": 17993, + "orter": 17994, + "Pass": 17995, + "rical": 17996, + "Former": 17997, + "upid": 17998, + "teacher": 17999, + "alien": 18000, + "etary": 18001, + "themselves.": 18002, + "Hit": 18003, + "rocket": 18004, + "Sus": 18005, + "Ice": 18006, + "etch": 18007, + "arguments": 18008, + "angle": 18009, + "idespread": 18010, + "mining": 18011, + "sentence": 18012, + "far,": 18013, + "resistance": 18014, + "structures": 18015, + "basketball": 18016, + "teachers": 18017, + "asks": 18018, + "actors": 18019, + "rarely": 18020, + "winner": 18021, + "Tun": 18022, + "Unfortunately,": 18023, + "empty": 18024, + "Medical": 18025, + "51": 18026, + "full-": 18027, + "Valley": 18028, + "stadium": 18029, + "bind": 18030, + "DR": 18031, + "level.": 18032, + "report.": 18033, + "elled": 18034, + "mac": 18035, + "body.": 18036, + "information.": 18037, + "deem": 18038, + "folks": 18039, + "properties": 18040, + "collected": 18041, + "secre": 18042, + "span": 18043, + "pir": 18044, + "you've": 18045, + "affili": 18046, + "grap": 18047, + "creates": 18048, + "field.": 18049, + "what's": 18050, + "adopted": 18051, + "drinking": 18052, + "assistant": 18053, + "Master": 18054, + "proportion": 18055, + "requests": 18056, + "sylvan": 18057, + "county": 18058, + "ental": 18059, + "shirt": 18060, + "adults": 18061, + "gained": 18062, + "employee": 18063, + "campaign.": 18064, + "away,": 18065, + "Aud": 18066, + "19,": 18067, + "over.": 18068, + "2008,": 18069, + "-free": 18070, + "’,": 18071, + "scoring": 18072, + "extr": 18073, + "Everyone": 18074, + "risks": 18075, + "level,": 18076, + "intellectual": 18077, + "igence": 18078, + "format": 18079, + "ups": 18080, + "genetic": 18081, + "(see": 18082, + "gift": 18083, + "dozens": 18084, + "2nd": 18085, + "CR": 18086, + "s.com": 18087, + "proven": 18088, + "Information": 18089, + "Update": 18090, + "Sometimes": 18091, + "philosoph": 18092, + "Columb": 18093, + "ec": 18094, + "ighter": 18095, + "extend": 18096, 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18203, + "“When": 18204, + "hash": 18205, + "(M": 18206, + "breath": 18207, + "awaren": 18208, + "uct": 18209, + "mayor": 18210, + "extension": 18211, + "gaming": 18212, + "barely": 18213, + "Rober": 18214, + "Community": 18215, + "philosop": 18216, + "temporary": 18217, + "devast": 18218, + "welfare": 18219, + "HP": 18220, + "ole": 18221, + "sper": 18222, + "apartment": 18223, + "Kenned": 18224, + "ounce": 18225, + "export": 18226, + "Miami": 18227, + "hr": 18228, + "pic.": 18229, + "i’s": 18230, + "settlement": 18231, + "loyal": 18232, + "-American": 18233, + "soil": 18234, + "genuine": 18235, + "perpet": 18236, + "excit": 18237, + "follows": 18238, + "compete": 18239, + "UFC": 18240, + "estate": 18241, + "oured": 18242, + "ownership": 18243, + "Freedom": 18244, + "duty": 18245, + "conventional": 18246, + "angel": 18247, + "Arizona": 18248, + "extract": 18249, + "delivery": 18250, + "ney,": 18251, + "installed": 18252, + "hits": 18253, + "ency.": 18254, + "Dallas": 18255, + "thrown": 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"mission.": 19589, + "moon": 19590, + "though.": 19591, + "assigned": 19592, + "Diego": 19593, + "izz": 19594, + "1.5": 19595, + "(L": 19596, + "Cab": 19597, + "iro": 19598, + "crush": 19599, + "gross": 19600, + "udes": 19601, + "Hart": 19602, + "used.": 19603, + "persu": 19604, + "bun": 19605, + "targeting": 19606, + "bold": 19607, + "hunt": 19608, + "recess": 19609, + "graphics": 19610, + "Division": 19611, + "naturally": 19612, + "settled": 19613, + "childhood": 19614, + "connections": 19615, + "ures,": 19616, + "DV": 19617, + "friends,": 19618, + "fears": 19619, + "isk": 19620, + "anybody": 19621, + "dating": 19622, + "dinner": 19623, + "stron": 19624, + "studied": 19625, + "dance": 19626, + "Al-": 19627, + "11:": 19628, + "divor": 19629, + "matter.": 19630, + "stamp": 19631, + "orate": 19632, + "assass": 19633, + "event,": 19634, + "striking": 19635, + "advocates": 19636, + "Magic": 19637, + "Store": 19638, + "Dy": 19639, + "stagram": 19640, + "Prov": 19641, + "preparing": 19642, 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"tonight": 19696, + "Friday.": 19697, + "abandoned": 19698, + "RT": 19699, + "entitled": 19700, + "wider": 19701, + "rett": 19702, + "Case": 19703, + "simultane": 19704, + "monitoring": 19705, + "reported.": 19706, + "Ultim": 19707, + "Cra": 19708, + "losses": 19709, + "weeks,": 19710, + "firing": 19711, + "Recent": 19712, + "vessel": 19713, + "safet": 19714, + "Kentuck": 19715, + "tremend": 19716, + "tear": 19717, + "Management": 19718, + "puzz": 19719, + "Christians": 19720, + "Moreover,": 19721, + "Sud": 19722, + "Arm": 19723, + "deal.": 19724, + "ious,": 19725, + "cameras": 19726, + "gig": 19727, + "facilit": 19728, + "aining": 19729, + "jan": 19730, + "Gulf": 19731, + "grounds": 19732, + "astro": 19733, + "uplo": 19734, + "Cameron": 19735, + "distingu": 19736, + "Hub": 19737, + "citing": 19738, + "193": 19739, + "ship,": 19740, + "is:": 19741, + "rie": 19742, + "control.": 19743, + "funny": 19744, + "much.": 19745, + "thood": 19746, + "Form": 19747, + "ably,": 19748, + "Pier": 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Tokenizer Implementation (Modified) +class RubyTokenizer: + def __init__(self): + self.tokenizer = Tokenizer(models.BPE(unk_token="[UNK]")) + self.tokenizer.add_special_tokens(["[PAD]", "[UNK]"]) + self.tokenizer.decoder = decoders.ByteLevel() + + def train(self, texts): + trainer = trainers.BpeTrainer( + special_tokens=["[PAD]", "[UNK]"], + vocab_size=cfg.vocab_size, + min_frequency=2, # Modified + show_progress=True + ) + self.tokenizer.train_from_iterator( + (text.split() for text in texts), # Modified: better word handling + trainer=trainer + ) + + def encode(self, text): + return self.tokenizer.encode(text).ids + + @property + def pad_id(self): + return self.tokenizer.token_to_id("[PAD]") # Modified + + +# 2. Optimized Dataset (Modified padding handling) +class CachedDataset(Dataset): + def __init__(self): + self.data = np.memmap("dataset_cache.bin", + dtype=np.int32, + mode="r", + shape=(os.path.getsize("dataset_cache.bin")//4,)) + + def __len__(self): + return len(self.data) // cfg.context_size + + def __getitem__(self, idx): + start = idx * cfg.context_size + return torch.from_numpy(self.data[start:start+cfg.context_size].copy()) + + +# 3. Transformer Model (Modified padding_idx) +class Transformer(nn.Module): + def __init__(self, pad_id): + super().__init__() + self.embed = nn.Embedding( + cfg.vocab_size, + cfg.model_dim, + padding_idx=pad_id # Modified + ) + self.blocks = nn.ModuleList([ + nn.TransformerEncoderLayer( + d_model=cfg.model_dim, + nhead=cfg.num_heads, + dim_feedforward=cfg.model_dim*4, + batch_first=True + ) for _ in range(cfg.num_layers) + ]) + self.head = nn.Linear(cfg.model_dim, cfg.vocab_size) + + def forward(self, x): + x = self.embed(x) + for block in self.blocks: + x = block(x) + return self.head(x) + + +# 4. Main Training Process (Critical fixes) +def main(): + # Initialize tokenizer + tokenizer = RubyTokenizer() + + if not os.path.exists("dataset_cache.bin"): + print("Creating dataset cache...") + ds = load_dataset("openwebtext", split="train[:5%]") + + # Train and save tokenizer (Modified) + if not os.path.exists("tokenizer.json"): + print("Training tokenizer...") + tokenizer.train([text for text in ds["text"] if len(text) > 100]) + tokenizer.tokenizer.save("tokenizer.json") + else: + tokenizer.tokenizer = Tokenizer.from_file("tokenizer.json") + + # Tokenize and cache data (Modified) + all_tokens = [] + pad_id = tokenizer.pad_id + + for text in ds["text"]: + tokens = tokenizer.encode(text) + tokens = tokens[:cfg.context_size] # Truncate after tokenization + pad_len = cfg.context_size - len(tokens) + all_tokens.extend(tokens + [pad_id]*pad_len) # Modified + + memmap = np.memmap("dataset_cache.bin", + dtype=np.int32, + mode="w+", + shape=(len(all_tokens),)) + memmap[:] = np.array(all_tokens, dtype=np.int32) + del memmap + + # Test tokenizer (Modified) + test_text = "The quick brown fox jumps over the lazy dog." + print("Tokenizer test:", tokenizer.tokenizer.encode(test_text).tokens) + + # Initialize model with pad_id (Modified) + model = Transformer(pad_id=tokenizer.pad_id).to(cfg.device) + opt = torch.optim.AdamW(model.parameters(), lr=cfg.lr) + scaler = GradScaler() + + dataset = CachedDataset() + loader = DataLoader(dataset, + batch_size=cfg.batch_size, + pin_memory=True, + shuffle=True) + + # Training loop (Modified loss calculation) + start = time.time() + for step, batch in enumerate(loader): + batch = batch.to(cfg.device, non_blocking=True) + + inputs = batch[:, :-1] + targets = batch[:, 1:] + + with autocast(): + outputs = model(inputs) + loss = torch.nn.functional.cross_entropy( + outputs.reshape(-1, cfg.vocab_size), + targets.reshape(-1).long(), + ignore_index=tokenizer.pad_id # Modified + ) + + scaler.scale(loss).backward() + scaler.step(opt) + scaler.update() + opt.zero_grad() + + if step % 10 == 0: + elapsed = time.time() - start + speed = (step + 1) * cfg.batch_size / elapsed + print(f"Step {step} | Loss: {loss.item():.4f} | Speed: {speed:.1f} samples/s") + + +if __name__ == "__main__": + main()