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leandroZanatta27
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videomae-base-furtos

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

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  1. README.md +9 -12
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
 
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  base_model: MCG-NJU/videomae-base
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  tags:
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  - generated_from_trainer
@@ -17,8 +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: 0.3482
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- - Accuracy: 1.0
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.125 | 1 | 0.6633 | 0.5 |
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- | No log | 1.125 | 2 | 0.5622 | 0.75 |
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- | No log | 2.125 | 3 | 0.4896 | 0.85 |
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- | No log | 3.125 | 4 | 0.4415 | 0.95 |
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- | No log | 4.125 | 5 | 0.4049 | 1.0 |
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- | No log | 5.125 | 6 | 0.3768 | 1.0 |
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- | No log | 6.125 | 7 | 0.3576 | 1.0 |
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- | No log | 7.125 | 8 | 0.3482 | 1.0 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ 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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  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: 0.4151
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+ - Accuracy: 0.9
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.25 | 2 | 0.5630 | 0.95 |
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+ | No log | 1.25 | 4 | 0.4741 | 0.9 |
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+ | No log | 2.25 | 6 | 0.4301 | 0.9 |
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+ | No log | 3.25 | 8 | 0.4151 | 0.9 |
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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