Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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- precision
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- recall
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- f1
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model-index:
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- name: ViViT_LSA64_SR_6
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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_LSA64_SR_6
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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: 0.0190
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- Accuracy: 0.9961
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- Precision: 0.9969
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- Recall: 0.9961
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- F1: 0.9960
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 8640
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 15.7817 | 0.0333 | 288 | 2.8824 | 0.4609 | 0.5309 | 0.4609 | 0.4307 |
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| 4.7558 | 1.0333 | 576 | 0.5582 | 0.9492 | 0.9586 | 0.9492 | 0.9470 |
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| 0.5173 | 2.0333 | 864 | 0.0999 | 0.9805 | 0.9854 | 0.9805 | 0.9798 |
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| 0.1244 | 3.0333 | 1152 | 0.0102 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0043 | 4.0333 | 1440 | 0.0265 | 0.9922 | 0.9938 | 0.9922 | 0.9921 |
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| 0.021 | 5.0333 | 1728 | 0.0200 | 0.9922 | 0.9938 | 0.9922 | 0.9921 |
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| 0.0014 | 6.0333 | 2016 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
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| 0.0414 | 7.0333 | 2304 | 0.0075 | 0.9961 | 0.9969 | 0.9961 | 0.9960 |
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| 0.0386 | 8.0333 | 2592 | 0.0190 | 0.9961 | 0.9969 | 0.9961 | 0.9960 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 354806104
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version https://git-lfs.github.com/spec/v1
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oid sha256:a982c8dce96471141a01fd21334b117958b445eb597ebbaf28557f065f7e8096
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size 354806104
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