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  1. README.md +7 -35
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -3,8 +3,6 @@ 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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  model-index:
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  - name: vvt-gs-rot-flip-wtoken-f198-4.4-h768-t8.16.16
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  results: []
@@ -17,8 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.7849
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- - Accuracy: 0.7037
 
 
 
 
 
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  ## Model description
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@@ -46,37 +49,6 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 5500
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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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- | 1.0266 | 0.0402 | 221 | 1.0406 | 0.4286 |
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- | 1.0928 | 1.0402 | 442 | 0.9597 | 0.5291 |
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- | 0.862 | 2.0402 | 663 | 0.9646 | 0.4709 |
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- | 0.9291 | 3.0402 | 884 | 0.9939 | 0.4868 |
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- | 0.8705 | 4.0402 | 1105 | 1.0091 | 0.5503 |
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- | 0.9667 | 5.0402 | 1326 | 0.9416 | 0.5556 |
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- | 0.9227 | 6.0402 | 1547 | 0.8647 | 0.5820 |
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- | 1.0569 | 7.0402 | 1768 | 1.1076 | 0.4127 |
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- | 0.9919 | 8.0402 | 1989 | 0.9308 | 0.5608 |
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- | 0.7163 | 9.0402 | 2210 | 0.9721 | 0.5185 |
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- | 0.7941 | 10.0402 | 2431 | 0.9408 | 0.5397 |
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- | 0.9386 | 11.0402 | 2652 | 0.8730 | 0.5926 |
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- | 0.857 | 12.0402 | 2873 | 0.8833 | 0.6561 |
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- | 0.7059 | 13.0402 | 3094 | 0.8673 | 0.6402 |
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- | 0.8322 | 14.0402 | 3315 | 0.8233 | 0.6296 |
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- | 0.8574 | 15.0402 | 3536 | 0.7643 | 0.6825 |
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- | 0.7092 | 16.0402 | 3757 | 0.7972 | 0.6720 |
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- | 0.6816 | 17.0402 | 3978 | 0.7122 | 0.7090 |
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- | 0.839 | 18.0402 | 4199 | 0.7404 | 0.7143 |
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- | 0.4672 | 19.0402 | 4420 | 0.7093 | 0.7196 |
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- | 0.5119 | 20.0402 | 4641 | 0.7171 | 0.6825 |
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- | 0.7769 | 21.0402 | 4862 | 0.7072 | 0.6931 |
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- | 0.6635 | 22.0402 | 5083 | 0.7096 | 0.7196 |
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- | 0.8027 | 23.0402 | 5304 | 0.6887 | 0.7037 |
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- | 0.4765 | 24.0356 | 5500 | 0.6835 | 0.7407 |
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-
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-
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  ### Framework versions
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  - Transformers 4.41.2
 
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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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  model-index:
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  - name: vvt-gs-rot-flip-wtoken-f198-4.4-h768-t8.16.16
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  results: []
 
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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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+ - epoch: 24.0356
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+ - eval_accuracy: 0.7407
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+ - eval_loss: 0.6835
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+ - eval_runtime: 207.2262
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+ - eval_samples_per_second: 0.912
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+ - eval_steps_per_second: 0.232
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+ - step: 5500
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 5500
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  ### Framework versions
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  - Transformers 4.41.2
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