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d2o2ji
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videomae-base-finetuned-kisa

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
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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-base
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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-kisa
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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-kisa
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.2647
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+ - Accuracy: 0.4913
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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: 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: 0.05
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+ - training_steps: 2725
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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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+ | 0.0741 | 0.0404 | 110 | 1.1353 | 0.5 |
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+ | 0.0259 | 1.0404 | 220 | 3.7142 | 0.1183 |
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+ | 0.5784 | 2.0404 | 330 | 2.2692 | 0.5 |
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+ | 0.1384 | 3.0404 | 440 | 1.3726 | 0.5178 |
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+ | 0.513 | 4.0404 | 550 | 2.5340 | 0.3728 |
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+ | 0.0156 | 5.0404 | 660 | 2.3487 | 0.2041 |
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+ | 0.0033 | 6.0404 | 770 | 4.4601 | 0.1953 |
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+ | 0.0071 | 7.0404 | 880 | 4.6045 | 0.0917 |
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+ | 0.004 | 8.0404 | 990 | 3.4062 | 0.4083 |
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+ | 0.0017 | 9.0404 | 1100 | 2.4961 | 0.4941 |
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+ | 0.4934 | 10.0404 | 1210 | 2.9785 | 0.4941 |
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+ | 0.43 | 11.0404 | 1320 | 3.7030 | 0.5207 |
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+ | 0.0014 | 12.0404 | 1430 | 2.5479 | 0.2012 |
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+ | 0.0021 | 13.0404 | 1540 | 4.0235 | 0.3195 |
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+ | 0.2387 | 14.0404 | 1650 | 4.6049 | 0.2337 |
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+ | 0.0009 | 15.0404 | 1760 | 4.3070 | 0.2485 |
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+ | 0.0004 | 16.0404 | 1870 | 4.4573 | 0.2515 |
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+ | 0.5939 | 17.0404 | 1980 | 4.3423 | 0.3550 |
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+ | 0.0013 | 18.0404 | 2090 | 4.3365 | 0.3047 |
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+ | 0.0015 | 19.0404 | 2200 | 4.0964 | 0.2426 |
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+ | 0.0032 | 20.0404 | 2310 | 4.1795 | 0.2988 |
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+ | 0.0006 | 21.0404 | 2420 | 4.1612 | 0.3136 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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