End of training
Browse files- README.md +70 -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-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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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
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size 354639992
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version https://git-lfs.github.com/spec/v1
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size 354639992
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