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kanlo
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videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
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  1. README.md +6 -14
  2. model.safetensors +1 -1
  3. runs/May18_03-11-14_DESKTOP-SGO0ICV/events.out.tfevents.1715973078.DESKTOP-SGO0ICV.53888.0 +3 -0
  4. runs/May18_03-13-07_DESKTOP-SGO0ICV/events.out.tfevents.1715973207.DESKTOP-SGO0ICV.50268.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: cc-by-nc-4.0
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  base_model: MCG-NJU/videomae-base
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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: videomae-base-finetuned-ucf101-subset
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  results: []
@@ -17,8 +15,12 @@ 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: 0.4509
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- - Accuracy: 0.8194
 
 
 
 
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  ## Model description
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@@ -46,16 +48,6 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 148
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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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- | 2.1149 | 0.2568 | 38 | 1.8155 | 0.5571 |
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- | 0.8974 | 1.2568 | 76 | 1.1256 | 0.5857 |
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- | 0.5226 | 2.2568 | 114 | 0.5665 | 0.8 |
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- | 0.3423 | 3.2297 | 148 | 0.4715 | 0.8714 |
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-
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-
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  ### Framework versions
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  - Transformers 4.41.0
 
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  base_model: MCG-NJU/videomae-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: videomae-base-finetuned-ucf101-subset
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  results: []
 
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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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+ - eval_loss: 2.2843
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+ - eval_accuracy: 0.0839
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+ - eval_runtime: 16.8711
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+ - eval_samples_per_second: 9.187
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+ - eval_steps_per_second: 1.185
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+ - step: 0
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.1
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  - training_steps: 148
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  ### Framework versions
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  - Transformers 4.41.0
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