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chess-etiennelefranc-colab-v2 – AI Model by LLM-course | AlphaNeural AI

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chess-etiennelefranc-colab-v2

Modèle de chess entraîné sur Google Colab pour le Chess Challenge.

Informations de soumission

Soumis par: etienneLefranc
Paramètres: 909,824
Organisation: LLM-course
Entraîné sur: Google Colab GPU

Détails du modèle

Architecture: Chess Transformer (GPT-style)
Taille du vocabulaire: 1682
Dimension d'embedding: 128
Nombre de couches: 4
Nombre de têtes d'attention: 4
Epochs d'entraînement: 6
Samples d'entraînement: 150,000
Learning rate: 0.0003
Scheduler: cosine