End of training
Browse files- README.md +13 -0
- model.safetensors +1 -1
- runs/Dec24_18-45-28_DESKTOP-UFIEEB7/events.out.tfevents.1703425541.DESKTOP-UFIEEB7.2032.0 +3 -0
- runs/Dec24_18-49-46_DESKTOP-UFIEEB7/events.out.tfevents.1703425798.DESKTOP-UFIEEB7.2032.1 +3 -0
- runs/Dec24_18-54-08_DESKTOP-UFIEEB7/events.out.tfevents.1703426052.DESKTOP-UFIEEB7.3548.0 +3 -0
- training_args.bin +1 -1
README.md
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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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model-index:
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- name: vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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results: []
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# vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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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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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 20
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### Framework versions
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- Transformers 4.36.2
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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-ucf101-subset
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results: []
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# vivit-b-16x2-kinetics400-finetuned-ucf101-subset
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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: 991262442243755631422586792733310976.0000
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- Accuracy: 0.5455
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 20
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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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| 872310942836251954510729370121797632.0000 | 0.5 | 10 | 991262442243755631422586792733310976.0000 | 0.5455 |
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| 872310942836251954510729370121797632.0000 | 1.5 | 20 | 991262442243755631422586792733310976.0000 | 0.5455 |
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### Framework versions
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- Transformers 4.36.2
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model.safetensors
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