metadata
license: apache-2.0
base_model: facebook/dinov2-small
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
datasets:
- szymonrucinski/types-of-film-shots
dinov2-small: types of film shots
Model description
This model is a fine-tuned version of facebook/dinov2-small on the szymonrucinski/types-of-film-shots dataset. It achieves the following results on the evaluation set:
- Loss: 0.9864
- Accuracy: 0.6259
class labels
The dataset contains the following labels:
"id2label": {
"0": "ambiguous",
"1": "closeUp",
"2": "detail",
"3": "extremeLongShot",
"4": "fullShot",
"5": "longShot",
"6": "mediumCloseUp",
"7": "mediumShot"
},
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 17480
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 12.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6177 | 0.97 | 24 | 1.5501 | 0.4101 |
| 1.3029 | 1.99 | 49 | 1.2448 | 0.5108 |
| 1.1785 | 2.96 | 73 | 1.0556 | 0.5252 |
| 1.2146 | 3.98 | 98 | 1.2316 | 0.5396 |
| 0.8389 | 4.99 | 123 | 1.0235 | 0.5971 |
| 0.7883 | 5.97 | 147 | 0.9960 | 0.6259 |
| 0.7899 | 6.98 | 172 | 1.1354 | 0.5540 |
| 0.663 | 8.0 | 197 | 1.0971 | 0.5827 |
| 0.6013 | 8.97 | 221 | 0.9864 | 0.6259 |
| 0.6276 | 9.99 | 246 | 1.0182 | 0.6115 |
| 0.5196 | 10.96 | 270 | 1.0074 | 0.6547 |
| 0.4761 | 11.7 | 288 | 0.9956 | 0.6763 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2