videomae-base-finetuned-ucf101-subset_fhbh_colab
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6292
- Accuracy: 0.75
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 48
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6714 | 0.25 | 12 | 0.6292 | 0.75 |
| 0.5293 | 1.25 | 24 | 0.9094 | 0.3333 |
| 0.752 | 2.25 | 36 | 1.1135 | 0.4167 |
| 1.2968 | 3.25 | 48 | 1.1206 | 0.5 |
Framework versions
- Transformers 4.44.2
- Pytorch 1.13.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
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Model tree for Mayank1996/videomae-base-finetuned-ucf101-subset_fhbh_colab
Base model
MCG-NJU/videomae-base