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  1. README.md +7 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7808
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- - Accuracy: 0.8423
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  ## Model description
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@@ -50,11 +50,11 @@ 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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- | 1.4131 | 0.2 | 787 | 1.1517 | 0.7517 |
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- | 0.7219 | 1.2 | 1574 | 0.9071 | 0.8020 |
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- | 0.5167 | 2.2 | 2361 | 0.7808 | 0.8423 |
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- | 0.006 | 3.2 | 3148 | 0.7296 | 0.8406 |
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- | 0.0043 | 4.2 | 3935 | 0.7350 | 0.8356 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7402
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+ - Accuracy: 0.8456
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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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+ | 1.8305 | 0.2 | 787 | 1.2155 | 0.6023 |
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+ | 0.7465 | 1.2 | 1574 | 0.7485 | 0.8339 |
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+ | 0.5066 | 2.2 | 2361 | 0.8862 | 0.8104 |
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+ | 0.0055 | 3.2 | 3148 | 0.7402 | 0.8456 |
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+ | 0.0042 | 4.2 | 3935 | 0.8932 | 0.8104 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 1215496208
 
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