document-spoof-clip
This model is a fine-tuned version of openai/clip-vit-base-patch32 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0225
- Accuracy: 0.9857
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.8421 | 4 | 0.5305 | 0.8429 |
| No log | 1.8947 | 9 | 0.1707 | 0.9286 |
| 0.6268 | 2.9474 | 14 | 0.3507 | 0.8429 |
| 0.6268 | 4.0 | 19 | 0.4707 | 0.8 |
| 0.2881 | 4.8421 | 23 | 0.1337 | 0.9286 |
| 0.2881 | 5.8947 | 28 | 0.1293 | 0.9286 |
| 0.2349 | 6.9474 | 33 | 0.0565 | 0.9714 |
| 0.2349 | 8.0 | 38 | 0.0676 | 0.9571 |
| 0.0907 | 8.8421 | 42 | 0.3071 | 0.9 |
| 0.0907 | 9.8947 | 47 | 0.1462 | 0.9714 |
| 0.1203 | 10.9474 | 52 | 0.0761 | 0.9714 |
| 0.1203 | 12.0 | 57 | 0.0808 | 0.9571 |
| 0.0715 | 12.8421 | 61 | 0.0204 | 0.9857 |
| 0.0715 | 13.8947 | 66 | 0.0210 | 0.9857 |
| 0.031 | 14.9474 | 71 | 0.0274 | 0.9714 |
| 0.031 | 16.0 | 76 | 0.0448 | 0.9857 |
| 0.0655 | 16.8421 | 80 | 0.0225 | 0.9857 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
openai/clip-vit-base-patch32Evaluation results
- Accuracy on imagefoldervalidation set self-reported0.986