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beingbatman
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5c_4

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Model card Files
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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-large-finetuned-kinetics
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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: 5c_4
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+ results: []
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+ ---
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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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+
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+ # 5c_4
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.4509
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+ - Accuracy: 0.48
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 23400
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.9641 | 0.01 | 234 | 1.4838 | 0.4 |
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+ | 1.5439 | 1.01 | 468 | 3.7125 | 0.4 |
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+ | 1.2944 | 2.01 | 702 | 3.6749 | 0.4 |
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+ | 0.9419 | 3.01 | 936 | 3.0422 | 0.4 |
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+ | 2.4333 | 4.01 | 1170 | 2.6803 | 0.4 |
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+ | 1.4646 | 5.01 | 1404 | 3.5355 | 0.4 |
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+ | 2.1201 | 6.01 | 1638 | 3.0479 | 0.4 |
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+ | 2.9021 | 7.01 | 1872 | 2.8181 | 0.4 |
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+ | 2.1527 | 8.01 | 2106 | 2.7605 | 0.4 |
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+ | 1.9428 | 9.01 | 2340 | 2.4513 | 0.4 |
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+ | 1.6949 | 10.01 | 2574 | 3.2310 | 0.4 |
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+ | 0.7839 | 11.01 | 2808 | 3.2372 | 0.4 |
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+ | 0.3228 | 12.01 | 3042 | 4.4588 | 0.4 |
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+ | 3.5377 | 13.01 | 3276 | 2.8621 | 0.4 |
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+ | 0.509 | 14.01 | 3510 | 2.7460 | 0.4 |
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+ | 0.1437 | 15.01 | 3744 | 2.9698 | 0.4 |
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+ | 1.0039 | 16.01 | 3978 | 1.9415 | 0.44 |
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+ | 0.0062 | 17.01 | 4212 | 3.7041 | 0.4 |
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+ | 0.6038 | 18.01 | 4446 | 3.2141 | 0.4 |
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+ | 1.1687 | 19.01 | 4680 | 2.4072 | 0.44 |
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+ | 0.8397 | 20.01 | 4914 | 3.4212 | 0.4 |
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+ | 1.1147 | 21.01 | 5148 | 2.5115 | 0.44 |
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+ | 0.2286 | 22.01 | 5382 | 2.4343 | 0.44 |
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+ | 0.8939 | 23.01 | 5616 | 3.0712 | 0.4 |
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+ | 0.3871 | 24.01 | 5850 | 3.2394 | 0.4 |
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+ | 0.3649 | 25.01 | 6084 | 3.9466 | 0.44 |
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+ | 1.2601 | 26.01 | 6318 | 2.9586 | 0.44 |
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+ | 0.852 | 27.01 | 6552 | 4.6464 | 0.4 |
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+ | 0.6269 | 28.01 | 6786 | 3.1292 | 0.44 |
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+ | 1.0013 | 29.01 | 7020 | 4.6319 | 0.4 |
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+ | 0.02 | 30.01 | 7254 | 4.2514 | 0.4 |
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+ | 0.1333 | 31.01 | 7488 | 4.3310 | 0.4 |
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+ | 0.0005 | 32.01 | 7722 | 4.5354 | 0.4 |
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+ | 0.004 | 33.01 | 7956 | 4.5970 | 0.4 |
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+ | 0.3017 | 34.01 | 8190 | 4.5879 | 0.44 |
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+ | 0.2014 | 35.01 | 8424 | 4.2809 | 0.4 |
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+ | 0.1573 | 36.01 | 8658 | 4.6822 | 0.44 |
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+ | 0.0041 | 37.01 | 8892 | 5.1673 | 0.4 |
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+ | 0.0001 | 38.01 | 9126 | 5.4005 | 0.4 |
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+ | 0.1066 | 39.01 | 9360 | 4.4509 | 0.48 |
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+ | 0.0001 | 40.01 | 9594 | 5.0906 | 0.44 |
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+ | 1.3235 | 41.01 | 9828 | 4.4093 | 0.48 |
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+ | 0.4313 | 42.01 | 10062 | 4.0898 | 0.48 |
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+ | 0.0002 | 43.01 | 10296 | 4.7817 | 0.44 |
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+ | 0.0001 | 44.01 | 10530 | 4.8667 | 0.48 |
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+ | 0.0007 | 45.01 | 10764 | 4.5619 | 0.48 |
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+ | 0.0009 | 46.01 | 10998 | 5.0250 | 0.44 |
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+ | 0.0001 | 47.01 | 11232 | 4.4129 | 0.48 |
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+ | 0.0001 | 48.01 | 11466 | 5.5987 | 0.44 |
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+ | 0.0003 | 49.01 | 11700 | 5.4567 | 0.44 |
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+ | 0.0468 | 50.01 | 11934 | 5.0218 | 0.48 |
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+ | 0.187 | 51.01 | 12168 | 5.3269 | 0.4 |
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+ | 0.0002 | 52.01 | 12402 | 5.4364 | 0.44 |
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+ | 0.0001 | 53.01 | 12636 | 5.7307 | 0.44 |
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+ | 0.0 | 54.01 | 12870 | 5.9781 | 0.44 |
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+ | 0.0001 | 55.01 | 13104 | 4.8221 | 0.44 |
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+ | 0.0001 | 56.01 | 13338 | 5.5808 | 0.4 |
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+ | 0.0 | 57.01 | 13572 | 5.7662 | 0.44 |
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+ | 0.0001 | 58.01 | 13806 | 5.4463 | 0.44 |
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+ | 0.0021 | 59.01 | 14040 | 5.9576 | 0.44 |
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+ | 0.5042 | 60.01 | 14274 | 5.9419 | 0.4 |
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+ | 0.0053 | 61.01 | 14508 | 5.2977 | 0.48 |
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+ | 0.0 | 62.01 | 14742 | 5.8541 | 0.4 |
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+ | 0.1555 | 63.01 | 14976 | 6.5367 | 0.4 |
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+ | 0.0081 | 64.01 | 15210 | 5.4808 | 0.4 |
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+ | 0.0008 | 65.01 | 15444 | 5.8818 | 0.4 |
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+ | 0.0 | 66.01 | 15678 | 6.4378 | 0.4 |
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+ | 0.0 | 67.01 | 15912 | 5.6597 | 0.4 |
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+ | 0.0 | 68.01 | 16146 | 5.8197 | 0.44 |
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+ | 0.0061 | 69.01 | 16380 | 6.0141 | 0.4 |
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+ | 0.0001 | 70.01 | 16614 | 6.2449 | 0.4 |
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+ | 0.0001 | 71.01 | 16848 | 6.2530 | 0.4 |
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+ | 0.0 | 72.01 | 17082 | 5.7655 | 0.4 |
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+ | 0.0 | 73.01 | 17316 | 6.1521 | 0.4 |
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+ | 0.0 | 74.01 | 17550 | 6.1597 | 0.44 |
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+ | 0.6123 | 75.01 | 17784 | 6.4786 | 0.4 |
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+ | 0.0 | 76.01 | 18018 | 6.5528 | 0.4 |
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+ | 0.0 | 77.01 | 18252 | 5.5426 | 0.44 |
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+ | 0.0 | 78.01 | 18486 | 6.4276 | 0.4 |
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+ | 0.0 | 79.01 | 18720 | 6.8676 | 0.4 |
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+ | 0.0 | 80.01 | 18954 | 6.6693 | 0.4 |
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+ | 0.0 | 81.01 | 19188 | 6.7919 | 0.4 |
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+ | 0.0 | 82.01 | 19422 | 6.7520 | 0.4 |
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+ | 0.0 | 83.01 | 19656 | 6.7565 | 0.4 |
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+ | 0.0 | 84.01 | 19890 | 6.8186 | 0.4 |
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+ | 0.0 | 85.01 | 20124 | 6.5549 | 0.4 |
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+ | 0.0 | 86.01 | 20358 | 6.7223 | 0.4 |
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+ | 0.0 | 87.01 | 20592 | 6.9096 | 0.4 |
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+ | 0.0 | 88.01 | 20826 | 6.9918 | 0.4 |
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+ | 0.0 | 89.01 | 21060 | 7.2247 | 0.4 |
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+ | 0.0001 | 90.01 | 21294 | 7.2267 | 0.4 |
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+ | 0.0 | 91.01 | 21528 | 6.9826 | 0.4 |
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+ | 0.0 | 92.01 | 21762 | 6.6385 | 0.4 |
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+ | 0.792 | 93.01 | 21996 | 6.4020 | 0.4 |
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+ | 0.0 | 94.01 | 22230 | 6.4453 | 0.4 |
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+ | 0.0 | 95.01 | 22464 | 6.9102 | 0.4 |
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+ | 0.0 | 96.01 | 22698 | 6.9262 | 0.4 |
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+ | 0.0 | 97.01 | 22932 | 6.7757 | 0.4 |
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+ | 0.0 | 98.01 | 23166 | 6.8298 | 0.4 |
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+ | 0.0 | 99.01 | 23400 | 6.8317 | 0.4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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