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mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_CONTEXT
DanJoshua/mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_CONTEXT
mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_CONTEXT is a machine learning model from DanJoshua. Use it for the machine learning 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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Updated Sep 17, 2024
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024
- SHA
- e4884a8d
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. -->
mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_CONTEXT
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3896
- Accuracy: 0.9038
- F1: 0.9037
- Precision: 0.9047
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: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3040
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.6101 | 0.05 | 152 | 0.5450 | 0.7875 | 0.7871 | 0.8066 |
| 0.3128 | 1.05 | 304 | 0.3344 | 0.8938 | 0.8934 | 0.8988 |
| 0.3362 | 2.05 | 456 | 0.3066 | 0.8812 | 0.8807 | 0.8886 |
| 0.4271 | 3.05 | 608 | 0.2586 | 0.9125 | 0.9124 | 0.9135 |
| 0.3873 | 4.05 | 760 | 0.2907 | 0.925 | 0.9249 | 0.9274 |
| 0.3197 | 5.05 | 912 | 0.2499 | 0.9187 | 0.9187 | 0.9193 |
| 0.3667 | 6.05 | 1064 | 0.2537 | 0.925 | 0.9250 | 0.9261 |
| 0.1761 | 7.05 | 1216 | 0.2570 | 0.9187 | 0.9187 | 0.9204 |
| 0.1558 | 8.05 | 1368 | 0.2790 | 0.925 | 0.9248 | 0.9293 |
| 0.2125 | 9.05 | 1520 | 0.2459 | 0.9187 | 0.9187 | 0.9193 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- transformers
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024