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ASD_Behavour-trainining2

Video Classification
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videomae
Generated from Trainer
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  1. README.md +73 -0
  2. model.safetensors +1 -1
  3. runs/May18_04-08-40_DESKTOP-SGO0ICV/events.out.tfevents.1715976569.DESKTOP-SGO0ICV.50268.6 +2 -2
  4. runs/May18_04-08-40_DESKTOP-SGO0ICV/events.out.tfevents.1715981142.DESKTOP-SGO0ICV.50268.7 +3 -0
README.md ADDED
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+ ---
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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: ASD_Behavour-trainining2
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+ results: []
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+ ---
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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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+
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+ # ASD_Behavour-trainining2
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9525
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+ - Accuracy: 0.3636
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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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: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | No log | 0.0667 | 2 | 1.0015 | 0.5556 |
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+ | No log | 1.0667 | 4 | 0.9530 | 0.5556 |
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+ | No log | 2.0667 | 6 | 1.2045 | 0.2222 |
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+ | No log | 3.0667 | 8 | 1.5476 | 0.2593 |
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+ | 0.4992 | 4.0667 | 10 | 1.3886 | 0.2222 |
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+ | 0.4992 | 5.0667 | 12 | 1.1887 | 0.3333 |
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+ | 0.4992 | 6.0667 | 14 | 1.0209 | 0.5185 |
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+ | 0.4992 | 7.0667 | 16 | 0.9728 | 0.7407 |
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+ | 0.4992 | 8.0667 | 18 | 0.9164 | 0.6667 |
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+ | 0.3577 | 9.0667 | 20 | 0.8789 | 0.6667 |
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+ | 0.3577 | 10.0667 | 22 | 0.8177 | 0.6667 |
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+ | 0.3577 | 11.0667 | 24 | 0.8500 | 0.6296 |
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+ | 0.3577 | 12.0667 | 26 | 0.9112 | 0.6296 |
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+ | 0.3577 | 13.0667 | 28 | 0.9497 | 0.6667 |
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+ | 0.1819 | 14.0667 | 30 | 0.9656 | 0.6667 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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