Downloads · 30 days
0
mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_ONLY_PERSON
DanJoshua/mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_ONLY_PERSON
mvit_v2_s_Kinetics400_transf_BLANK_RWF-2000_ONLY_PERSON 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. --
Access
Public
Updated Sep 8, 2024
Parameters
34.6M
2.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors138 MB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Sep 8, 2024
- SHA
- fc5369b0
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_ONLY_PERSON
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2832
- Accuracy: 0.9158
- F1: 0.9157
- Precision: 0.9157
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: 2280
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.5681 | 0.0632 | 144 | 0.4817 | 0.85 | 0.8494 | 0.8607 |
| 0.4612 | 1.0632 | 288 | 0.3374 | 0.875 | 0.8743 | 0.8797 |
| 0.3022 | 2.0632 | 432 | 0.2846 | 0.9 | 0.9 | 0.9 |
| 0.3056 | 3.0632 | 576 | 0.2733 | 0.9 | 0.8999 | 0.9003 |
| 0.3098 | 4.0632 | 720 | 0.3172 | 0.9167 | 0.9166 | 0.9211 |
| 0.3965 | 5.0632 | 864 | 0.2689 | 0.9333 | 0.9333 | 0.9354 |
| 0.1318 | 6.0632 | 1008 | 0.2828 | 0.9333 | 0.9333 | 0.9354 |
| 0.1719 | 7.0632 | 1152 | 0.3062 | 0.925 | 0.9250 | 0.9282 |
| 0.0967 | 8.0632 | 1296 | 0.3469 | 0.925 | 0.9250 | 0.9282 |
| 0.0456 | 9.0632 | 1440 | 0.3319 | 0.925 | 0.9250 | 0.9282 |
| 0.1613 | 10.0632 | 1584 | 0.3430 | 0.925 | 0.9250 | 0.9282 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Created
- Sep 7, 2024
- Updated
- Sep 8, 2024