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tsf-gs-rot-flip-wtoken-DRPT-r128-f198-4.4-h768-i3072-p32-b4-e60

Video Classification
Transformers
Safetensors
timesformer
Generated from Trainer
Inference Endpoints
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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: facebook/timesformer-base-finetuned-k400
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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: tsf-gs-rot-flip-wtoken-DRPT-r128-f198-4.4-h768-i3072-p32-b4-e60
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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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+ # tsf-gs-rot-flip-wtoken-DRPT-r128-f198-4.4-h768-i3072-p32-b4-e60
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+
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+ This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4736
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+ - Accuracy: 0.7487
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 13020
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+ - mixed_precision_training: Native AMP
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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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+ | 1.0904 | 0.0167 | 217 | 1.1132 | 0.3262 |
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+ | 1.1105 | 1.0167 | 434 | 1.1408 | 0.3262 |
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+ | 1.2079 | 2.0167 | 651 | 1.1040 | 0.3422 |
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+ | 1.1561 | 3.0167 | 868 | 1.1015 | 0.3316 |
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+ | 1.1399 | 4.0167 | 1085 | 1.1023 | 0.3262 |
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+ | 1.1942 | 5.0167 | 1302 | 1.1053 | 0.3743 |
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+ | 1.09 | 6.0167 | 1519 | 1.0816 | 0.3690 |
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+ | 1.1052 | 7.0167 | 1736 | 1.1205 | 0.3369 |
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+ | 0.9883 | 8.0167 | 1953 | 1.1582 | 0.3904 |
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+ | 1.0268 | 9.0167 | 2170 | 0.9488 | 0.5775 |
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+ | 0.8247 | 10.0167 | 2387 | 0.9106 | 0.6417 |
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+ | 0.841 | 11.0167 | 2604 | 0.8541 | 0.6471 |
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+ | 0.8026 | 12.0167 | 2821 | 0.7250 | 0.6898 |
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+ | 0.942 | 13.0167 | 3038 | 0.7447 | 0.6578 |
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+ | 0.7162 | 14.0167 | 3255 | 0.8518 | 0.6043 |
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+ | 1.0489 | 15.0167 | 3472 | 0.9505 | 0.6096 |
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+ | 0.8231 | 16.0167 | 3689 | 1.0083 | 0.5882 |
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+ | 0.8702 | 17.0167 | 3906 | 0.7928 | 0.6684 |
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+ | 0.5014 | 18.0167 | 4123 | 0.7290 | 0.7433 |
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+ | 0.5914 | 19.0167 | 4340 | 0.6092 | 0.7701 |
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+ | 0.6259 | 20.0167 | 4557 | 1.0359 | 0.7487 |
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+ | 0.7433 | 21.0167 | 4774 | 1.0086 | 0.7326 |
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+ | 0.2929 | 22.0167 | 4991 | 1.7072 | 0.6364 |
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+ | 0.3763 | 23.0167 | 5208 | 0.9161 | 0.7487 |
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+ | 0.4253 | 24.0167 | 5425 | 1.1377 | 0.7219 |
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+ | 0.7882 | 25.0167 | 5642 | 1.2351 | 0.7059 |
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+ | 0.5644 | 26.0167 | 5859 | 1.5853 | 0.6150 |
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+ | 0.6372 | 27.0167 | 6076 | 0.8027 | 0.7540 |
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+ | 0.3907 | 28.0167 | 6293 | 1.6891 | 0.6096 |
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+ | 0.7374 | 29.0167 | 6510 | 1.2730 | 0.6791 |
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+ | 0.6292 | 30.0167 | 6727 | 1.1093 | 0.7326 |
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+ | 0.2892 | 31.0167 | 6944 | 1.2396 | 0.7219 |
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+ | 0.6779 | 32.0167 | 7161 | 1.6986 | 0.6524 |
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+ | 0.2337 | 33.0167 | 7378 | 1.7567 | 0.6898 |
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+ | 0.3919 | 34.0167 | 7595 | 1.1040 | 0.7380 |
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+ | 0.6117 | 35.0167 | 7812 | 1.0982 | 0.7701 |
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+ | 0.5463 | 36.0167 | 8029 | 1.1052 | 0.7380 |
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+ | 0.3559 | 37.0167 | 8246 | 1.6846 | 0.6578 |
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+ | 0.3356 | 38.0167 | 8463 | 0.9712 | 0.7487 |
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+ | 0.0266 | 39.0167 | 8680 | 1.7524 | 0.6684 |
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+ | 0.3919 | 40.0167 | 8897 | 1.6011 | 0.7112 |
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+ | 0.1367 | 41.0167 | 9114 | 1.1935 | 0.7433 |
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+ | 0.1936 | 42.0167 | 9331 | 1.5143 | 0.7326 |
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+ | 0.7236 | 43.0167 | 9548 | 1.1621 | 0.7861 |
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+ | 0.5877 | 44.0167 | 9765 | 1.5272 | 0.7326 |
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+ | 0.3265 | 45.0167 | 9982 | 1.2536 | 0.7754 |
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+ | 0.4684 | 46.0167 | 10199 | 1.1489 | 0.7647 |
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+ | 0.3436 | 47.0167 | 10416 | 1.3433 | 0.7701 |
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+ | 0.0272 | 48.0167 | 10633 | 1.5171 | 0.7380 |
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+ | 0.3487 | 49.0167 | 10850 | 1.1279 | 0.7647 |
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+ | 0.024 | 50.0167 | 11067 | 1.6780 | 0.7273 |
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+ | 0.4644 | 51.0167 | 11284 | 1.3860 | 0.7914 |
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+ | 0.5177 | 52.0167 | 11501 | 1.7174 | 0.7219 |
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+ | 0.263 | 53.0167 | 11718 | 1.4811 | 0.7326 |
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+ | 0.3323 | 54.0167 | 11935 | 1.4279 | 0.7807 |
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+ | 0.2919 | 55.0167 | 12152 | 1.4855 | 0.7166 |
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+ | 0.1878 | 56.0167 | 12369 | 1.4966 | 0.7594 |
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+ | 0.1307 | 57.0167 | 12586 | 1.3280 | 0.7594 |
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+ | 0.4798 | 58.0167 | 12803 | 1.6149 | 0.7487 |
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+ | 0.0599 | 59.0167 | 13020 | 1.3786 | 0.7540 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 1.13.0+cu117
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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