Model save
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- model.safetensors +1 -1
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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- f1
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model-index:
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- name: videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset
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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-finetuned-shoplifting-dataset
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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: 0.9494
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- F1: 0.7192
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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: 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: 880
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 0.1824 | 0.1011 | 89 | 1.0068 | 0.6832 |
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| 0.334 | 1.1 | 177 | 0.9260 | 0.6805 |
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| 0.2202 | 2.1 | 265 | 0.9856 | 0.7139 |
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| 0.2074 | 3.1 | 353 | 0.9494 | 0.7192 |
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| 0.0916 | 4.1 | 441 | 1.3867 | 0.6711 |
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| 0.1092 | 5.1 | 529 | 1.3758 | 0.6920 |
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| 0.0804 | 6.1 | 617 | 1.3788 | 0.6968 |
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| 0.0654 | 7.1 | 705 | 1.2970 | 0.6973 |
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| 0.0065 | 8.1 | 793 | 1.4780 | 0.7006 |
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| 0.0024 | 9.0989 | 880 | 1.4464 | 0.7006 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.2.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 344937328
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version https://git-lfs.github.com/spec/v1
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size 344937328
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