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videomae-base-finetuned-TikHaram

Video Classification
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videomae
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  1. README.md +14 -13
  2. model.safetensors +1 -1
  3. runs/Jul18_10-59-44_c0d3b48da25b/events.out.tfevents.1721300433.c0d3b48da25b.523.1 +2 -2
  4. runs/Jul18_10-59-44_c0d3b48da25b/events.out.tfevents.1721315950.c0d3b48da25b.523.2 +3 -0
README.md CHANGED
@@ -13,13 +13,14 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mazen_/huggingface/runs/txofhg1i)
 
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  # videomae-base-finetuned-TikHaram
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  This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8754
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- - Accuracy: 0.6757
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  ## Model description
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@@ -51,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.1179 | 0.1017 | 30 | 0.9410 | 0.6858 |
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- | 0.6162 | 1.1017 | 60 | 0.6876 | 0.7498 |
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- | 0.5604 | 2.1017 | 90 | 0.6748 | 0.7363 |
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- | 0.3628 | 3.1017 | 120 | 0.6228 | 0.7936 |
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- | 0.2861 | 4.1017 | 150 | 0.7412 | 0.7422 |
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- | 0.213 | 5.1017 | 180 | 0.6356 | 0.7666 |
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- | 0.1428 | 6.1017 | 210 | 0.6791 | 0.7591 |
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- | 0.1536 | 7.1017 | 240 | 0.7612 | 0.7523 |
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- | 0.1594 | 8.1017 | 270 | 0.7678 | 0.7624 |
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- | 0.1056 | 9.0847 | 295 | 0.7785 | 0.7658 |
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  ### Framework versions
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mazen_/huggingface/runs/avex673r)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mazen_/huggingface/runs/avex673r)
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  # videomae-base-finetuned-TikHaram
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  This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7397
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+ - Accuracy: 0.6887
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.1138 | 0.1017 | 30 | 0.9141 | 0.7169 |
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+ | 0.6999 | 1.1017 | 60 | 0.6574 | 0.7877 |
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+ | 0.4804 | 2.1017 | 90 | 0.5710 | 0.7961 |
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+ | 0.2795 | 3.1017 | 120 | 0.7722 | 0.7169 |
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+ | 0.1862 | 4.1017 | 150 | 0.6860 | 0.7877 |
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+ | 0.162 | 5.1017 | 180 | 0.6509 | 0.7810 |
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+ | 0.1456 | 6.1017 | 210 | 0.7687 | 0.7574 |
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+ | 0.1351 | 7.1017 | 240 | 0.7653 | 0.7675 |
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+ | 0.0798 | 8.1017 | 270 | 0.7602 | 0.7751 |
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+ | 0.246 | 9.0847 | 295 | 0.7605 | 0.7734 |
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  ### Framework versions
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