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limbxy_ext_crop_hands
c14kevincardenas/limbxy_ext_crop_hands
limbxy_ext_crop_hands is a machine learning model from c14kevincardenas. 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. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 25, 2024
- SHA
- 29fc3902
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. -->
limbxy_ext_crop_hands
This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_ext_crop_hands dataset. It achieves the following results on the evaluation set:
- Loss: 0.0130
- Rmse: 0.1140
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: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.2234 | 1.0 | 47 | 0.1538 | 0.3922 |
| 0.1462 | 2.0 | 94 | 0.0762 | 0.2759 |
| 0.0446 | 3.0 | 141 | 0.0488 | 0.2209 |
| 0.0436 | 4.0 | 188 | 0.0176 | 0.1329 |
| 0.0326 | 5.0 | 235 | 0.0322 | 0.1796 |
| 0.0212 | 6.0 | 282 | 0.0186 | 0.1365 |
| 0.0334 | 7.0 | 329 | 0.0302 | 0.1739 |
| 0.0247 | 8.0 | 376 | 0.0362 | 0.1904 |
| 0.0238 | 9.0 | 423 | 0.0153 | 0.1236 |
| 0.0342 | 10.0 | 470 | 0.0152 | 0.1236 |
| 0.0188 | 11.0 | 517 | 0.0162 | 0.1272 |
| 0.0165 | 12.0 | 564 | 0.0228 | 0.1509 |
| 0.0163 | 13.0 | 611 | 0.0145 | 0.1205 |
| 0.0154 | 14.0 | 658 | 0.0140 | 0.1182 |
| 0.0168 | 15.0 | 705 | 0.0147 | 0.1215 |
| 0.0156 | 16.0 | 752 | 0.0146 | 0.1208 |
| 0.0159 | 17.0 | 799 | 0.0157 | 0.1253 |
| 0.0145 | 18.0 | 846 | 0.0142 | 0.1191 |
| 0.0133 | 19.0 | 893 | 0.0132 | 0.1150 |
| 0.0127 | 20.0 | 940 | 0.0130 | 0.1140 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Oct 23, 2024
- Updated
- Oct 25, 2024