| Metric | Value |
|---|---|
| Parameters | 37.3M |
| Vocab size | 50257 |
| Tokens trained | 380.1M |
| Final loss | 2.053 |
| Best loss | 1.7397 |
| Best PPL | 5.7 |
| Eval PPL | 10.93 |
| Dead layers | 0/16 |
1import torch
2from model.config import ModelConfig
3from model.architecture import QorvaModel
4
5ck = torch.load('qorva_micro_final.pt', map_location='cpu')
6cfg = ModelConfig.from_dict(ck['config'])
7model = QorvaModel(cfg)
8model.load_state_dict(ck['model'])
9model.eval()