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mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000
DanJoshua/mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000
mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000 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 9, 2024
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024
- SHA
- 93c69279
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
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3308
- Accuracy: 0.9087
- F1: 0.9087
- Precision: 0.9088
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 |
|---|---|---|---|---|---|---|
| 0.5938 | 0.05 | 152 | 0.4462 | 0.85 | 0.8520 | 0.8601 |
| 0.3043 | 1.05 | 304 | 0.3026 | 0.9062 | 0.9060 | 0.9115 |
| 0.3435 | 2.05 | 456 | 0.2550 | 0.9062 | 0.9062 | 0.9063 |
| 0.4051 | 3.05 | 608 | 0.2562 | 0.9313 | 0.9312 | 0.9329 |
| 0.3056 | 4.05 | 760 | 0.3028 | 0.9313 | 0.9310 | 0.9368 |
| 0.3582 | 5.05 | 912 | 0.2670 | 0.9437 | 0.9436 | 0.9472 |
| 0.3945 | 6.05 | 1064 | 0.2467 | 0.9313 | 0.9312 | 0.9329 |
| 0.2147 | 7.05 | 1216 | 0.2431 | 0.9437 | 0.9436 | 0.9472 |
| 0.1816 | 8.05 | 1368 | 0.2935 | 0.9437 | 0.9436 | 0.9472 |
| 0.1582 | 9.05 | 1520 | 0.2804 | 0.9437 | 0.9436 | 0.9472 |
| 0.1915 | 10.05 | 1672 | 0.3000 | 0.9375 | 0.9374 | 0.9400 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024