Model save
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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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-mixed-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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# vivit-b-16x2-mixed-dataset
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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: 0.1118
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- Accuracy: 0.9740
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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: 7044
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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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| 0.2111 | 0.17 | 1174 | 0.8879 | 0.7863 |
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| 0.0911 | 1.17 | 2348 | 0.5390 | 0.8831 |
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| 0.0021 | 2.17 | 3522 | 0.2326 | 0.9355 |
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| 0.0028 | 3.17 | 4696 | 0.3125 | 0.9395 |
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| 0.0008 | 4.17 | 5870 | 0.3077 | 0.9476 |
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| 0.125 | 5.17 | 7044 | 0.1982 | 0.9617 |
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### Framework versions
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- Transformers 4.39.0
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- Pytorch 2.1.0
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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size 354624604
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