gpt trained with nanoGPT
Configs:
- batch size = 32
- bias = False
- bloack_size = 1024
- n heads = 8
- h layers = 6
- dropout = 0.0
- n embed = 768
- vocab size = 50304
- gradient_accumulation_steps = 1
- learning_rate = 1e-3
- iters = 7250
- lr_decay_iters = 5000
- min_lr = 1e-5
- warmup_iters = 400
- mfu = 30.45935
- train_loss = 3.89759
- val_loss = 3.91001