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videomae-base-finetuned-ucf101-subset
lochman2021/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a machine learning model from lochman2021. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- videomae
- Access
- Public
- Created
- Feb 24, 2025
- Updated
- Feb 24, 2025
- SHA
- 1fb11c00
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
videomae-base-finetuned-ucf101-subset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9980
- Accuracy: 0.6857
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: 16
- eval_batch_size: 16
- 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: 72
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3785 | 0.2639 | 19 | 2.0400 | 0.2714 |
| 1.8552 | 1.2639 | 38 | 1.4939 | 0.3714 |
| 1.1655 | 2.2639 | 57 | 1.1090 | 0.6143 |
| 0.7439 | 3.2083 | 72 | 0.9980 | 0.6857 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- videomae
- Created
- Feb 24, 2025
- Updated
- Feb 24, 2025