metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distill_ViT_to_MobileNet
results: []
distill_ViT_to_MobileNet
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: -16.9518
- Accuracy: 0.3759
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| -17.0436 | 1.0 | 130 | -16.9518 | 0.3759 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0