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End of training

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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-base-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: videomae-base-finetuned-kinetics-V6KILLER
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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-kinetics-V6KILLER
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1568
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+ - Accuracy: 0.9508
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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: 15
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+ - eval_batch_size: 15
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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: 500
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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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+ | 0.1861 | 0.1 | 51 | 0.1321 | 0.9549 |
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+ | 0.2014 | 1.1 | 102 | 0.1460 | 0.9416 |
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+ | 0.0963 | 2.1 | 153 | 0.2060 | 0.9240 |
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+ | 0.1975 | 3.1 | 204 | 0.2031 | 0.9382 |
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+ | 0.1017 | 4.1 | 255 | 0.1010 | 0.9574 |
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+ | 0.1589 | 5.1 | 306 | 0.2064 | 0.9073 |
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+ | 0.0272 | 6.1 | 357 | 0.1119 | 0.9549 |
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+ | 0.0424 | 7.1 | 408 | 0.1136 | 0.9591 |
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+ | 0.0239 | 8.1 | 459 | 0.2198 | 0.9416 |
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+ | 0.0897 | 9.08 | 500 | 0.1715 | 0.9533 |
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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 2.1.1+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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