metadata
library_name: transformers
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-for-YogaPosesv4
results: []
finetuned-for-YogaPosesv4
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the yoga_pose_images dataset. It achieves the following results on the evaluation set:
- Loss: 0.0743
- Accuracy: 0.9907
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0434 | 0.8772 | 100 | 0.1421 | 0.9595 |
| 0.033 | 1.7544 | 200 | 0.0880 | 0.9875 |
| 0.084 | 2.6316 | 300 | 0.0919 | 0.9844 |
| 0.0655 | 3.5088 | 400 | 0.0932 | 0.9875 |
| 0.0126 | 4.3860 | 500 | 0.0696 | 0.9875 |
| 0.0487 | 5.2632 | 600 | 0.0847 | 0.9720 |
| 0.0114 | 6.1404 | 700 | 0.1103 | 0.9813 |
| 0.0377 | 7.0175 | 800 | 0.0743 | 0.9907 |
| 0.062 | 7.8947 | 900 | 0.1642 | 0.9782 |
| 0.0025 | 8.7719 | 1000 | 0.0598 | 0.9875 |
| 0.0041 | 9.6491 | 1100 | 0.1280 | 0.9813 |
| 0.0305 | 10.5263 | 1200 | 0.0920 | 0.9813 |
| 0.0148 | 11.4035 | 1300 | 0.1209 | 0.9875 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3