metadata
base_model: facebook/deit-base-distilled-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: WS800_DeiT_42820350
results: []
WS800_DeiT_42820350
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: 0.0000
- Accuracy: 1.0
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.96 | 6 | 0.1229 | 0.9625 |
| No log | 1.92 | 12 | 0.1149 | 0.95 |
| No log | 2.88 | 18 | 0.0406 | 0.9875 |
| No log | 4.0 | 25 | 0.0004 | 1.0 |
| No log | 4.96 | 31 | 0.0001 | 1.0 |
| No log | 5.92 | 37 | 0.0001 | 1.0 |
| No log | 6.88 | 43 | 0.0000 | 1.0 |
| 0.0759 | 8.0 | 50 | 0.0000 | 1.0 |
| 0.0759 | 8.96 | 56 | 0.0000 | 1.0 |
| 0.0759 | 9.6 | 60 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0