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beit-base-patch16-224_alpha0.5_temp5.0_t3
c14kevincardenas/beit-base-patch16-224_alpha0.5_temp5.0_t3
beit-base-patch16-224_alpha0.5_temp5.0_t3 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
- Mar 1, 2025
- Updated
- Mar 18, 2025
- SHA
- 1e32f1f8
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_alpha0.5_temp5.0_t3
This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:
- Loss: 0.5918
- Accuracy: 0.8482
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.8134 | 1.0 | 164 | 1.4051 | 0.2549 |
| 0.7231 | 2.0 | 328 | 1.1580 | 0.4978 |
| 0.538 | 3.0 | 492 | 0.7405 | 0.7581 |
| 0.4444 | 4.0 | 656 | 0.7384 | 0.7766 |
| 0.3712 | 5.0 | 820 | 0.6911 | 0.7809 |
| 0.3419 | 6.0 | 984 | 0.6714 | 0.7939 |
| 0.3274 | 7.0 | 1148 | 0.6137 | 0.8167 |
| 0.3137 | 8.0 | 1312 | 0.6484 | 0.8091 |
| 0.3083 | 9.0 | 1476 | 0.6518 | 0.8156 |
| 0.2918 | 10.0 | 1640 | 0.6408 | 0.8102 |
| 0.2918 | 11.0 | 1804 | 0.6470 | 0.8308 |
| 0.2915 | 12.0 | 1968 | 0.6152 | 0.8297 |
| 0.2814 | 13.0 | 2132 | 0.6169 | 0.8232 |
| 0.2879 | 14.0 | 2296 | 0.5981 | 0.8341 |
| 0.2865 | 15.0 | 2460 | 0.6006 | 0.8460 |
| 0.2818 | 16.0 | 2624 | 0.5918 | 0.8482 |
| 0.2871 | 17.0 | 2788 | 0.5989 | 0.8449 |
| 0.2757 | 18.0 | 2952 | 0.5924 | 0.8503 |
| 0.282 | 19.0 | 3116 | 0.5949 | 0.8460 |
| 0.2753 | 20.0 | 3280 | 0.5944 | 0.8492 |
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
- Mar 1, 2025
- Updated
- Mar 18, 2025