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videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Oct07_00-46-43_029e3d8df1df/events.out.tfevents.1728262007.029e3d8df1df.24.0 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6904
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- - Accuracy: 0.6552
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  ## Model description
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@@ -51,17 +51,17 @@ 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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- | 1.0895 | 0.0933 | 14 | 0.9325 | 0.6207 |
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- | 0.7947 | 1.0933 | 28 | 0.6832 | 0.7414 |
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- | 0.7401 | 2.0933 | 42 | 0.8184 | 0.6724 |
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- | 0.7072 | 3.0933 | 56 | 0.6621 | 0.7069 |
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- | 0.6901 | 4.0933 | 70 | 0.6385 | 0.7241 |
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- | 0.5656 | 5.0933 | 84 | 0.6044 | 0.7586 |
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- | 0.5968 | 6.0933 | 98 | 0.6689 | 0.7586 |
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- | 0.453 | 7.0933 | 112 | 0.6282 | 0.7069 |
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- | 0.4235 | 8.0933 | 126 | 0.6800 | 0.6897 |
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- | 0.4566 | 9.0933 | 140 | 0.6787 | 0.6897 |
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- | 0.3398 | 10.0667 | 150 | 0.6904 | 0.6552 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5126
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+ - Accuracy: 0.7586
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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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+ | 0.9276 | 0.0933 | 14 | 0.8787 | 0.6207 |
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+ | 0.8845 | 1.0933 | 28 | 0.7380 | 0.7069 |
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+ | 0.685 | 2.0933 | 42 | 0.7084 | 0.7069 |
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+ | 0.7556 | 3.0933 | 56 | 0.6161 | 0.8103 |
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+ | 0.5482 | 4.0933 | 70 | 0.6827 | 0.7414 |
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+ | 0.6461 | 5.0933 | 84 | 0.6916 | 0.7069 |
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+ | 0.701 | 6.0933 | 98 | 0.5490 | 0.8103 |
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+ | 0.5242 | 7.0933 | 112 | 0.5372 | 0.7931 |
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+ | 0.4482 | 8.0933 | 126 | 0.5276 | 0.8103 |
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+ | 0.3898 | 9.0933 | 140 | 0.5047 | 0.7931 |
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+ | 0.3664 | 10.0667 | 150 | 0.5126 | 0.7586 |
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  ### Framework versions
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