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beit-base-patch16-224_alpha0.7_temp5.0_t2
c14kevincardenas/beit-base-patch16-224_alpha0.7_temp5.0_t2
beit-base-patch16-224_alpha0.7_temp5.0_t2 is a image classification model from c14kevincardenas. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Feb 9, 2025
- Updated
- Feb 12, 2025
- SHA
- a02c3c38
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. -->
beit-base-patch16-224_alpha0.7_temp5.0
This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5587
- Accuracy: 0.8014
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: 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
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1179 | 1.0 | 90 | 1.4254 | 0.2875 |
| 0.8879 | 2.0 | 180 | 1.0517 | 0.5632 |
| 0.5644 | 3.0 | 270 | 0.7063 | 0.7431 |
| 0.3909 | 4.0 | 360 | 0.6421 | 0.7727 |
| 0.2787 | 5.0 | 450 | 0.6018 | 0.7875 |
| 0.2167 | 6.0 | 540 | 0.6578 | 0.7688 |
| 0.1982 | 7.0 | 630 | 0.6107 | 0.7826 |
| 0.1799 | 8.0 | 720 | 0.5742 | 0.8132 |
| 0.1689 | 9.0 | 810 | 0.6021 | 0.7945 |
| 0.1555 | 10.0 | 900 | 0.5871 | 0.7895 |
| 0.1514 | 11.0 | 990 | 0.5836 | 0.7915 |
| 0.1418 | 12.0 | 1080 | 0.5684 | 0.7964 |
| 0.1356 | 13.0 | 1170 | 0.5688 | 0.7974 |
| 0.1262 | 14.0 | 1260 | 0.5783 | 0.8053 |
| 0.128 | 15.0 | 1350 | 0.5665 | 0.7925 |
| 0.1211 | 16.0 | 1440 | 0.5587 | 0.8014 |
| 0.1223 | 17.0 | 1530 | 0.5644 | 0.8034 |
| 0.1133 | 18.0 | 1620 | 0.5634 | 0.8083 |
| 0.1158 | 19.0 | 1710 | 0.5711 | 0.8063 |
| 0.1119 | 20.0 | 1800 | 0.5648 | 0.8083 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Feb 9, 2025
- Updated
- Feb 12, 2025