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best_videomaev2_base_51cls.pt — raw checkpoint (torch.load)checkpoint_meta.json — metadata (best epoch, best val accuracy, etc.)training_results.csv — epoch-level train/val accuracylabel2id.json / id2label.json — label maps (if available)| Epoch | Train Acc | Val Acc | Saved Best |
|---|---|---|---|
| 1 | 0.2614 | 0.7125 | ✅ |
| 2 | 0.5320 | 0.8147 | ✅ |
| 3 | 0.6024 | 0.8275 | ✅ |
| 4 | 0.6108 | 0.8259 | |
| 5 | 0.6350 | 0.8450 | ✅ |
| 6 | 0.6444 | 0.8530 | ✅ |
| 7 | 0.6387 | 0.8530 | |
| 8 | 0.6328 | 0.8578 | ✅ |
| 9 | 0.6583 | 0.8610 | ✅ |
| 10 | 0.6664 | 0.8626 | ✅ |
1from huggingface_hub import hf_hub_download
2import torch
3
4repo_id = "Kiffaz11/Videomae_v2_base-hmdb51-finetuned"
5ckpt_path = hf_hub_download(repo_id=repo_id, filename="best_videomaev2_base_51cls.pt")
6ckpt = torch.load(ckpt_path, map_location="cpu")save_pretrained() Transformers folder).