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Dijaaa
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videomae-base-finetuned-ucf_crime2

Video Classification
Transformers
PyTorch
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +11 -6
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-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: 2.6369
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- - Accuracy: 0.0383
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  ## Model description
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@@ -41,22 +41,27 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 22
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.5694 | 0.55 | 12 | 2.7178 | 0.0939 |
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- | 2.4679 | 1.45 | 22 | 2.7647 | 0.0280 |
 
 
 
 
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  ### Framework versions
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  - Transformers 4.34.0
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- - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
 
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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: 2.1449
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+ - Accuracy: 0.2689
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  ## Model description
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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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+ - distributed_type: tpu
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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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  - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 504
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.3843 | 0.17 | 85 | 2.5040 | 0.1662 |
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+ | 2.2227 | 1.17 | 170 | 2.3376 | 0.1935 |
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+ | 2.1317 | 2.17 | 255 | 2.2547 | 0.2329 |
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+ | 2.0338 | 3.17 | 340 | 2.1470 | 0.2485 |
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+ | 1.9639 | 4.17 | 425 | 2.0700 | 0.2558 |
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+ | 1.8565 | 5.16 | 504 | 2.0882 | 0.2625 |
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  ### Framework versions
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  - Transformers 4.34.0
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+ - Pytorch 2.0.0+cu117
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1