June 2025
Intermediate to advanced
414 pages
9h 54m
German
Content preview from Large Language Models selbst programmieren
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DDie Trainingsschleife mit allem Drum und Dran
In diesem Anhang erweitern wir die Trainingsfunktion für die Vortrainings- und Feintuning-Prozesse, die in Kapitel 5 bis Kapitel 7 behandelt wurden. Insbesondere geht es um das Warmup der Lernrate, um Cosinus-Decay und um Gradienten-Clipping. Dann binden wir diese Techniken in die Trainingsfunktion ein und trainieren ein LLM vorab.
Um den Code in sich geschlossen zu halten, wird das in Kapitel 5 trainierte Modell erneut initialisiert:
import torch
from chapter04 import GPTModel
GPT_CONFIG_124M = {
"vocab_size": 50257, 
"context_length": 256,
"emb_dim": 768,
"n_heads": 12,
"n_layers": 12,
"drop_rate": ...
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