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End of training
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README.md
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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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<!-- 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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# videomae-base-finetuned-kinetics-V6KILLER
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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model.safetensors
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runs/Nov18_16-26-47_DESKTOP-T6E146I/events.out.tfevents.1700324138.DESKTOP-T6E146I.75104.7
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