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videomae-finetuned_37
kharato/videomae-finetuned_37
videomae-finetuned_37 is a machine learning model from kharato. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 14, 2024
- SHA
- 32e8c1de
Base models
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-finetuned_37
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7263
- Accuracy: 0.8972
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- training_steps: 56160
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7015 | 0.05 | 2809 | 0.6809 | 0.8385 |
| 0.4496 | 1.05 | 5618 | 0.9956 | 0.8228 |
| 0.5392 | 2.05 | 8427 | 0.9517 | 0.8287 |
| 0.5662 | 3.05 | 11236 | 1.0190 | 0.8071 |
| 0.48 | 4.05 | 14045 | 0.8919 | 0.8148 |
| 0.4773 | 5.05 | 16854 | 0.8265 | 0.8507 |
| 0.4749 | 6.05 | 19663 | 0.7975 | 0.8612 |
| 0.3916 | 7.05 | 22472 | 0.7923 | 0.8648 |
| 0.2919 | 8.05 | 25281 | 0.7495 | 0.8692 |
| 0.2068 | 9.05 | 28090 | 0.7460 | 0.8794 |
| 0.2217 | 10.05 | 30899 | 0.7522 | 0.8683 |
| 0.2886 | 11.05 | 33708 | 1.0231 | 0.8259 |
| 0.2319 | 12.05 | 36517 | 0.6641 | 0.8808 |
| 0.2056 | 13.05 | 39326 | 0.7961 | 0.8774 |
| 0.1969 | 14.05 | 42135 | 0.7620 | 0.8769 |
| 0.0624 | 15.05 | 44944 | 0.7757 | 0.8733 |
| 0.091 | 16.05 | 47753 | 0.7268 | 0.8962 |
| 0.0722 | 17.05 | 50562 | 0.7545 | 0.8931 |
| 0.0633 | 18.05 | 53371 | 0.7487 | 0.8924 |
| 0.0713 | 19.05 | 56160 | 0.7263 | 0.8972 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Aug 13, 2024
- Updated
- Aug 14, 2024