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poison-distilled-2
alem-147/poison-distilled-2
poison-distilled-2 is a image classification model from alem-147. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Dec 1, 2024
- Updated
- Dec 1, 2024
- SHA
- 81fe490e
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. -->
models
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: -1.0568
- Accuracy: 0.4219
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: 8
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0517 | 1.0 | 130 | -0.1478 | 0.4361 |
| -0.2131 | 2.0 | 260 | -0.7916 | 0.4737 |
| -0.6796 | 3.0 | 390 | -1.1818 | 0.3910 |
| -1.0059 | 4.0 | 520 | -1.5061 | 0.4737 |
| -1.4067 | 5.0 | 650 | -2.4894 | 0.3835 |
| -1.6574 | 6.0 | 780 | -1.4229 | 0.4211 |
| -1.8941 | 7.0 | 910 | -1.9573 | 0.3684 |
| -2.2115 | 8.0 | 1040 | -1.1340 | 0.2857 |
| -2.4642 | 9.0 | 1170 | -0.4890 | 0.3383 |
| -2.5106 | 10.0 | 1300 | -3.0730 | 0.4586 |
| -2.8623 | 11.0 | 1430 | -1.3475 | 0.4737 |
| -2.8928 | 12.0 | 1560 | -3.6841 | 0.4286 |
| -3.2526 | 13.0 | 1690 | -0.3445 | 0.3158 |
| -3.3179 | 14.0 | 1820 | -4.3698 | 0.4511 |
| -3.5768 | 15.0 | 1950 | -1.2273 | 0.3534 |
| -3.4264 | 16.0 | 2080 | -0.9398 | 0.3383 |
| -3.7022 | 17.0 | 2210 | -4.5067 | 0.3835 |
| -3.7768 | 18.0 | 2340 | -1.5536 | 0.3308 |
| -3.7878 | 19.0 | 2470 | -4.1282 | 0.4737 |
| -4.0069 | 20.0 | 2600 | -1.5285 | 0.4361 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- Created
- Dec 1, 2024
- Updated
- Dec 1, 2024