End of training
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- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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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-Vsl-Lab-PC-V6
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results: []
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# videomae-base-Vsl-Lab-PC-V6
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9592
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- Accuracy: 0.7425
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 40350
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.0067 | 0.02 | 807 | 1.8899 | 0.6695 |
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| 0.0022 | 1.02 | 1614 | 1.8777 | 0.7039 |
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| 0.4563 | 2.02 | 2421 | 2.2966 | 0.6652 |
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| 1.8204 | 3.02 | 3228 | 2.4138 | 0.6309 |
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| 1.1555 | 4.02 | 4035 | 2.6632 | 0.5880 |
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| 0.1378 | 5.02 | 4842 | 2.2825 | 0.6266 |
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| 1.058 | 6.02 | 5649 | 3.3259 | 0.4850 |
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| 0.0149 | 7.02 | 6456 | 2.8128 | 0.6009 |
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| 1.1115 | 8.02 | 7263 | 2.5082 | 0.5837 |
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| 0.0018 | 9.02 | 8070 | 2.3913 | 0.6524 |
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| 0.9214 | 10.02 | 8877 | 2.4402 | 0.5966 |
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| 0.2914 | 11.02 | 9684 | 2.7114 | 0.5622 |
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| 0.3135 | 12.02 | 10491 | 3.9421 | 0.4893 |
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| 0.1164 | 13.02 | 11298 | 2.7696 | 0.5536 |
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| 1.0253 | 14.02 | 12105 | 2.6795 | 0.5322 |
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| 0.0599 | 15.02 | 12912 | 1.9178 | 0.6996 |
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| 0.4201 | 16.02 | 13719 | 2.7323 | 0.5751 |
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| 1.0213 | 17.02 | 14526 | 2.4369 | 0.6094 |
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| 0.0614 | 18.02 | 15333 | 2.9494 | 0.5665 |
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| 0.0109 | 19.02 | 16140 | 2.2100 | 0.6309 |
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| 1.0478 | 20.02 | 16947 | 1.7552 | 0.6524 |
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| 0.8498 | 21.02 | 17754 | 1.9137 | 0.6781 |
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| 0.0632 | 22.02 | 18561 | 1.3456 | 0.7339 |
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| 0.7683 | 23.02 | 19368 | 2.0800 | 0.6137 |
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| 0.1712 | 24.02 | 20175 | 2.6950 | 0.5708 |
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| 0.324 | 25.02 | 20982 | 2.4280 | 0.5966 |
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| 0.0476 | 26.02 | 21789 | 2.9026 | 0.5751 |
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| 0.1437 | 27.02 | 22596 | 2.0371 | 0.6567 |
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| 1.1974 | 28.02 | 23403 | 2.3025 | 0.6352 |
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| 0.3062 | 29.02 | 24210 | 2.5002 | 0.6052 |
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| 0.0604 | 30.02 | 25017 | 1.7570 | 0.6953 |
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| 0.7533 | 31.02 | 25824 | 1.8004 | 0.7039 |
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| 0.0007 | 32.02 | 26631 | 2.1507 | 0.6352 |
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| 0.4664 | 33.02 | 27438 | 1.9330 | 0.6695 |
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| 0.1273 | 34.02 | 28245 | 2.2840 | 0.6309 |
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| 0.0003 | 35.02 | 29052 | 2.3160 | 0.6137 |
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| 1.6799 | 36.02 | 29859 | 1.8744 | 0.6695 |
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| 0.2873 | 37.02 | 30666 | 1.8129 | 0.6953 |
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| 0.005 | 38.02 | 31473 | 1.8502 | 0.7167 |
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| 0.0001 | 39.02 | 32280 | 2.0686 | 0.6781 |
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| 0.0 | 40.02 | 33087 | 1.8467 | 0.7167 |
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| 0.0002 | 41.02 | 33894 | 1.6552 | 0.7511 |
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| 0.0393 | 42.02 | 34701 | 1.4798 | 0.7468 |
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| 0.5225 | 43.02 | 35508 | 1.7190 | 0.7339 |
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| 0.0942 | 44.02 | 36315 | 1.9293 | 0.7124 |
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| 0.818 | 45.02 | 37122 | 1.7118 | 0.7296 |
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| 0.0009 | 46.02 | 37929 | 1.9575 | 0.6867 |
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| 0.0543 | 47.02 | 38736 | 1.9448 | 0.7511 |
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| 0.0 | 48.02 | 39543 | 1.9630 | 0.7425 |
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| 0.0021 | 49.02 | 40350 | 1.9592 | 0.7425 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Tokenizers 0.15.2
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: videomae-base-Vsl-Lab-PC-V6
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results: []
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# videomae-base-Vsl-Lab-PC-V6
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This model was trained from scratch on an unknown dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 40350
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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training_args.bin
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