Commit
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Model save
Browse files- README.md +109 -0
- model.safetensors +1 -1
README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base-short-ssv2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: videomae-base-short-ssv2-finetuned-ct_cpc
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# videomae-base-short-ssv2-finetuned-ct_cpc
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This model is a fine-tuned version of [MCG-NJU/videomae-base-short-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-ssv2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1547
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- Accuracy: 0.6508
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 2300
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.4832 | 0.02 | 47 | 1.1203 | 0.6667 |
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| 1.32 | 1.02 | 94 | 1.0505 | 0.6667 |
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| 1.1539 | 2.02 | 141 | 1.0525 | 0.6667 |
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| 1.2399 | 3.02 | 188 | 1.0354 | 0.6667 |
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| 0.9928 | 4.02 | 235 | 1.0516 | 0.6667 |
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| 1.0054 | 5.02 | 282 | 1.0297 | 0.6667 |
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| 1.1166 | 6.02 | 329 | 1.0247 | 0.6667 |
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| 1.2715 | 7.02 | 376 | 1.0098 | 0.6667 |
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| 1.0317 | 8.02 | 423 | 1.0404 | 0.6667 |
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| 1.1258 | 9.02 | 470 | 1.0054 | 0.6667 |
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| 0.8991 | 10.02 | 517 | 1.0477 | 0.6667 |
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| 0.8957 | 11.02 | 564 | 1.0608 | 0.6667 |
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| 1.078 | 12.02 | 611 | 1.0166 | 0.6667 |
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| 0.9067 | 13.02 | 658 | 1.2110 | 0.6667 |
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| 1.0383 | 14.02 | 705 | 1.0380 | 0.6 |
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| 1.2244 | 15.02 | 752 | 1.1041 | 0.6667 |
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| 1.0364 | 16.02 | 799 | 1.0123 | 0.6 |
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| 0.9662 | 17.02 | 846 | 1.1803 | 0.6333 |
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| 0.9299 | 18.02 | 893 | 1.0910 | 0.6333 |
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| 0.877 | 19.02 | 940 | 1.0183 | 0.65 |
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| 0.8649 | 20.02 | 987 | 1.1415 | 0.6167 |
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| 0.8841 | 21.02 | 1034 | 1.0975 | 0.6333 |
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| 0.6276 | 22.02 | 1081 | 1.0728 | 0.6 |
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| 0.7974 | 23.02 | 1128 | 1.1676 | 0.5833 |
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| 0.7381 | 24.02 | 1175 | 1.1624 | 0.55 |
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| 0.4807 | 25.02 | 1222 | 1.1930 | 0.55 |
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| 0.6812 | 26.02 | 1269 | 1.1511 | 0.6 |
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| 0.5802 | 27.02 | 1316 | 1.2315 | 0.6167 |
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| 0.5943 | 28.02 | 1363 | 1.1641 | 0.5667 |
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| 0.5416 | 29.02 | 1410 | 1.0963 | 0.6 |
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| 0.6676 | 30.02 | 1457 | 1.1131 | 0.5667 |
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| 0.4085 | 31.02 | 1504 | 1.2948 | 0.5833 |
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| 0.4548 | 32.02 | 1551 | 1.2788 | 0.6333 |
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| 0.4351 | 33.02 | 1598 | 1.1922 | 0.5667 |
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| 0.5641 | 34.02 | 1645 | 1.2677 | 0.55 |
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| 0.4471 | 35.02 | 1692 | 1.2766 | 0.6167 |
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| 0.361 | 36.02 | 1739 | 1.2525 | 0.55 |
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| 0.5668 | 37.02 | 1786 | 1.2928 | 0.55 |
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| 0.5262 | 38.02 | 1833 | 1.2429 | 0.6333 |
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| 0.4901 | 39.02 | 1880 | 1.1457 | 0.5667 |
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| 0.481 | 40.02 | 1927 | 1.2137 | 0.5833 |
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| 0.3566 | 41.02 | 1974 | 1.1830 | 0.6167 |
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| 0.5147 | 42.02 | 2021 | 1.1629 | 0.6 |
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| 0.4013 | 43.02 | 2068 | 1.2735 | 0.6 |
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| 0.3895 | 44.02 | 2115 | 1.2758 | 0.6167 |
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| 0.3727 | 45.02 | 2162 | 1.2519 | 0.5833 |
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| 0.2379 | 46.02 | 2209 | 1.2318 | 0.5833 |
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| 0.2985 | 47.02 | 2256 | 1.2594 | 0.5833 |
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| 0.2991 | 48.02 | 2300 | 1.2510 | 0.5833 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.0.1+cu117
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- Datasets 3.0.1
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- Tokenizers 0.15.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 344946604
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:cd70951183dc2f715abb7f6ba7d890a30ca905deaa690acb4adf1891825f98d0
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size 344946604
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