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videomae-base-finetuned-ucf101-subset-finetuned-subset

Video Classification
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TensorBoard
Safetensors
videomae
Generated from Trainer
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  2. model.safetensors +1 -1
  3. runs/Jan01_13-03-48_DESKTOP-M04OTBM/events.out.tfevents.1704154807.DESKTOP-M04OTBM.12612.5 +3 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: NiiCole/videomae-base-finetuned-ucf101-subset
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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-finetuned-ucf101-subset-finetuned-subset
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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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+ # videomae-base-finetuned-ucf101-subset-finetuned-subset
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+
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+ This model is a fine-tuned version of [NiiCole/videomae-base-finetuned-ucf101-subset](https://huggingface.co/NiiCole/videomae-base-finetuned-ucf101-subset) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5677
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+ - Accuracy: 0.8148
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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: 8
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+ - eval_batch_size: 8
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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: 3510
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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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+ | 1.58 | 0.02 | 59 | 1.5476 | 0.3733 |
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+ | 1.3617 | 1.02 | 118 | 1.2123 | 0.4977 |
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+ | 1.1668 | 2.02 | 177 | 1.3331 | 0.3825 |
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+ | 1.1751 | 3.02 | 236 | 1.2529 | 0.3687 |
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+ | 0.9961 | 4.02 | 295 | 1.0008 | 0.6452 |
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+ | 1.0562 | 5.02 | 354 | 1.0535 | 0.5392 |
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+ | 1.0189 | 6.02 | 413 | 0.9321 | 0.6866 |
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+ | 0.8553 | 7.02 | 472 | 0.8955 | 0.5853 |
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+ | 0.8961 | 8.02 | 531 | 0.7889 | 0.7419 |
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+ | 1.1626 | 9.02 | 590 | 0.9532 | 0.6175 |
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+ | 0.7951 | 10.02 | 649 | 1.1165 | 0.5530 |
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+ | 0.9042 | 11.02 | 708 | 0.7012 | 0.7650 |
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+ | 0.8642 | 12.02 | 767 | 0.7589 | 0.6774 |
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+ | 0.8017 | 13.02 | 826 | 0.7485 | 0.6959 |
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+ | 0.7523 | 14.02 | 885 | 0.5617 | 0.7834 |
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+ | 0.7223 | 15.02 | 944 | 1.0344 | 0.6129 |
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+ | 0.6164 | 16.02 | 1003 | 0.7275 | 0.7419 |
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+ | 0.6892 | 17.02 | 1062 | 0.6162 | 0.7788 |
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+ | 0.7865 | 18.02 | 1121 | 0.7966 | 0.6590 |
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+ | 0.6387 | 19.02 | 1180 | 0.7436 | 0.6774 |
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+ | 0.6181 | 20.02 | 1239 | 0.7137 | 0.7373 |
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+ | 0.6085 | 21.02 | 1298 | 0.9581 | 0.6682 |
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+ | 0.7109 | 22.02 | 1357 | 0.7746 | 0.7097 |
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+ | 0.7686 | 23.02 | 1416 | 0.7969 | 0.7097 |
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+ | 0.5995 | 24.02 | 1475 | 1.0075 | 0.6129 |
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+ | 0.5854 | 25.02 | 1534 | 0.7389 | 0.7419 |
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+ | 0.575 | 26.02 | 1593 | 0.7198 | 0.7143 |
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+ | 0.7478 | 27.02 | 1652 | 0.6098 | 0.7742 |
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+ | 0.7204 | 28.02 | 1711 | 0.6459 | 0.7972 |
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+ | 0.4325 | 29.02 | 1770 | 0.7268 | 0.7512 |
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+ | 0.593 | 30.02 | 1829 | 0.5901 | 0.7880 |
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+ | 0.6432 | 31.02 | 1888 | 0.5924 | 0.7880 |
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+ | 0.4821 | 32.02 | 1947 | 0.5730 | 0.8157 |
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+ | 0.9189 | 33.02 | 2006 | 0.6242 | 0.7834 |
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+ | 0.6179 | 34.02 | 2065 | 0.5847 | 0.8018 |
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+ | 0.5767 | 35.02 | 2124 | 0.5965 | 0.8249 |
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+ | 0.5298 | 36.02 | 2183 | 0.7918 | 0.7235 |
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+ | 0.5651 | 37.02 | 2242 | 0.8338 | 0.7327 |
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+ | 0.9236 | 38.02 | 2301 | 0.8371 | 0.7143 |
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+ | 0.4854 | 39.02 | 2360 | 0.7115 | 0.7696 |
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+ | 0.4837 | 40.02 | 2419 | 0.6326 | 0.7696 |
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+ | 0.4142 | 41.02 | 2478 | 0.6266 | 0.8203 |
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+ | 0.3309 | 42.02 | 2537 | 0.5806 | 0.8111 |
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+ | 0.3939 | 43.02 | 2596 | 0.5746 | 0.8249 |
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+ | 0.4993 | 44.02 | 2655 | 0.6114 | 0.8387 |
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+ | 0.3785 | 45.02 | 2714 | 0.6317 | 0.8018 |
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+ | 0.5224 | 46.02 | 2773 | 0.6667 | 0.7972 |
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+ | 0.5705 | 47.02 | 2832 | 0.6382 | 0.7926 |
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+ | 0.3342 | 48.02 | 2891 | 0.5592 | 0.8157 |
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+ | 0.5044 | 49.02 | 2950 | 0.5748 | 0.7926 |
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+ | 0.3838 | 50.02 | 3009 | 0.6050 | 0.7788 |
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+ | 0.5099 | 51.02 | 3068 | 0.6557 | 0.7604 |
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+ | 0.4335 | 52.02 | 3127 | 0.7119 | 0.7512 |
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+ | 0.4122 | 53.02 | 3186 | 0.6562 | 0.7788 |
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+ | 0.4431 | 54.02 | 3245 | 0.6701 | 0.7650 |
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+ | 0.4536 | 55.02 | 3304 | 0.6659 | 0.7696 |
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+ | 0.3867 | 56.02 | 3363 | 0.6632 | 0.7788 |
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+ | 0.3878 | 57.02 | 3422 | 0.6911 | 0.7742 |
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+ | 0.3853 | 58.02 | 3481 | 0.6931 | 0.7788 |
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+ | 0.3268 | 59.01 | 3510 | 0.6914 | 0.7788 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 1.13.1
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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