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