poison-distill-vit-lowperf-teacher
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: -147.2981
- Accuracy: 0.6692
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: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
-41.2606 | 1.0 | 130 | -56.4288 | 0.4511 |
-63.2817 | 2.0 | 260 | -71.5028 | 0.5940 |
-79.4609 | 3.0 | 390 | -89.7701 | 0.5714 |
-95.0787 | 4.0 | 520 | -104.8132 | 0.6241 |
-108.1566 | 5.0 | 650 | -113.9035 | 0.6090 |
-119.6772 | 6.0 | 780 | -127.5839 | 0.6090 |
-128.6957 | 7.0 | 910 | -135.8344 | 0.5865 |
-135.677 | 8.0 | 1040 | -141.0722 | 0.5564 |
-140.7586 | 9.0 | 1170 | -145.1082 | 0.6466 |
-143.6635 | 10.0 | 1300 | -147.5504 | 0.6617 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 218
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.