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--- |
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license: mit |
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base_model: google/vivit-b-16x2-kinetics400 |
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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: vivit-b-16x2-kinetics400-finetuned-0505-original |
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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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# vivit-b-16x2-kinetics400-finetuned-0505-original |
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This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7704 |
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- Accuracy: 0.74 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 520 |
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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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| 2.4346 | 0.1019 | 53 | 2.1892 | 0.18 | |
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| 1.2302 | 1.1019 | 106 | 1.6488 | 0.44 | |
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| 0.7052 | 2.1019 | 159 | 1.1180 | 0.66 | |
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| 0.1088 | 3.1019 | 212 | 0.7580 | 0.74 | |
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| 0.0163 | 4.1019 | 265 | 0.9034 | 0.72 | |
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| 0.0039 | 5.1019 | 318 | 0.8373 | 0.8 | |
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| 0.0024 | 6.1019 | 371 | 0.7717 | 0.76 | |
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| 0.0019 | 7.1019 | 424 | 0.7680 | 0.74 | |
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| 0.0016 | 8.1019 | 477 | 0.7709 | 0.74 | |
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| 0.0017 | 9.0827 | 520 | 0.7704 | 0.74 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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