dinov2-small-fer
This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8495
- Accuracy: 0.6964
- F1 angry: 0.6087
- F1 disgust: 0.5556
- F1 fear: 0.5091
- F1 happy: 0.8972
- F1 neutral: 0.6705
- F1 sad: 0.5893
- F1 surprise: 0.7923
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 angry | F1 disgust | F1 fear | F1 happy | F1 neutral | F1 sad | F1 surprise |
---|---|---|---|---|---|---|---|---|---|---|---|
No log | 1.0 | 449 | 1.1298 | 0.5659 | 0.3647 | 0.0 | 0.3323 | 0.8466 | 0.5333 | 0.4221 | 0.6871 |
1.3025 | 2.0 | 898 | 0.9742 | 0.6322 | 0.5274 | 0.2029 | 0.4050 | 0.8734 | 0.6080 | 0.5073 | 0.7528 |
1.0413 | 3.0 | 1347 | 0.9270 | 0.6499 | 0.5517 | 0.4157 | 0.4662 | 0.8846 | 0.6287 | 0.4934 | 0.7694 |
0.954 | 4.0 | 1796 | 0.9256 | 0.6537 | 0.5383 | 0.3975 | 0.4553 | 0.8801 | 0.6342 | 0.5153 | 0.7714 |
0.8994 | 5.0 | 2245 | 0.8979 | 0.6655 | 0.5820 | 0.3896 | 0.4075 | 0.8881 | 0.6377 | 0.5610 | 0.7759 |
0.8501 | 6.0 | 2694 | 0.8805 | 0.6776 | 0.6003 | 0.4599 | 0.4657 | 0.8932 | 0.6599 | 0.5382 | 0.7816 |
0.7972 | 7.0 | 3143 | 0.9028 | 0.6723 | 0.5918 | 0.4094 | 0.3981 | 0.8890 | 0.6547 | 0.5487 | 0.7811 |
0.7676 | 8.0 | 3592 | 0.8530 | 0.6884 | 0.6152 | 0.5085 | 0.5093 | 0.8922 | 0.6667 | 0.5447 | 0.7933 |
0.7138 | 9.0 | 4041 | 0.8927 | 0.6761 | 0.5794 | 0.5771 | 0.4487 | 0.8852 | 0.6494 | 0.5670 | 0.7833 |
0.7138 | 10.0 | 4490 | 0.8556 | 0.6896 | 0.6114 | 0.5668 | 0.4927 | 0.8957 | 0.6613 | 0.5799 | 0.7859 |
0.6799 | 11.0 | 4939 | 0.8477 | 0.6973 | 0.6174 | 0.5672 | 0.5118 | 0.8974 | 0.6694 | 0.5843 | 0.7900 |
0.643 | 12.0 | 5388 | 0.8495 | 0.6964 | 0.6087 | 0.5556 | 0.5091 | 0.8972 | 0.6705 | 0.5893 | 0.7923 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
facebook/dinov2-small-imagenet1k-1-layer