metadata
license: apache-2.0
base_model: facebook/deit-base-distilled-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: WS800_DeiT_42895082
results: []
WS800_DeiT_42895082
This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2587
- Accuracy: 0.975
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 | 1.0 | 5 | 0.6389 | 0.5125 |
| No log | 2.0 | 10 | 0.1840 | 0.9375 |
| No log | 3.0 | 15 | 0.1272 | 0.9625 |
| No log | 4.0 | 20 | 0.1958 | 0.9625 |
| No log | 5.0 | 25 | 0.1635 | 0.975 |
| No log | 6.0 | 30 | 0.2280 | 0.975 |
| No log | 7.0 | 35 | 0.2664 | 0.9625 |
| No log | 8.0 | 40 | 0.2636 | 0.9625 |
| No log | 9.0 | 45 | 0.2582 | 0.975 |
| 0.1252 | 10.0 | 50 | 0.2571 | 0.975 |
| 0.1252 | 11.0 | 55 | 0.2571 | 0.975 |
| 0.1252 | 12.0 | 60 | 0.2572 | 0.975 |
| 0.1252 | 13.0 | 65 | 0.2574 | 0.975 |
| 0.1252 | 14.0 | 70 | 0.2577 | 0.975 |
| 0.1252 | 15.0 | 75 | 0.2580 | 0.975 |
| 0.1252 | 16.0 | 80 | 0.2582 | 0.975 |
| 0.1252 | 17.0 | 85 | 0.2584 | 0.975 |
| 0.1252 | 18.0 | 90 | 0.2586 | 0.975 |
| 0.1252 | 19.0 | 95 | 0.2587 | 0.975 |
| 0.0 | 20.0 | 100 | 0.2587 | 0.975 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0