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fine-tune-3e-4
neverloses87/fine-tune-3e-4
fine-tune-3e-4 is a video classification model from neverloses87. 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. 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
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Jul 31, 2023
- Updated
- Jul 31, 2023
- SHA
- 29077fe9
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. -->
fine-tune-3e-4
This model is a fine-tuned version of sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3143
- Accuracy: 0.8975
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- 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: 188
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5167 | 0.25 | 47 | 0.4642 | 0.8397 |
| 0.3341 | 1.24 | 94 | 0.3632 | 0.8824 |
| 0.2945 | 2.24 | 141 | 0.3225 | 0.8947 |
| 0.2909 | 3.23 | 188 | 0.3143 | 0.8975 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jul 31, 2023
- Updated
- Jul 31, 2023