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AV_MAE_task1_256_DF1M_epoch2
yadvender12/AV_MAE_task1_256_DF1M_epoch2
AV_MAE_task1_256_DF1M_epoch2 is a video classification model from yadvender12. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- Model type
- videomae
- Access
- Public
- Created
- May 30, 2024
- Updated
- May 31, 2024
- SHA
- 4fce5874
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. -->
AV_MAE_task1_256_DF1M_epoch2
This model is a fine-tuned version of yadvender12/AV_MAE_task1_256_DF1M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3055
- Accuracy: 0.8812
- F1: 0.8807
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: 8
- eval_batch_size: 8
- 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: 25000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3319 | 0.5 | 12500 | 0.3159 | 0.8588 | 0.8579 |
| 0.3533 | 1.5 | 25000 | 0.3055 | 0.8812 | 0.8807 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.2.1+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- Created
- May 30, 2024
- Updated
- May 31, 2024