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
Downloads last month
13
Safetensors
Model size
22.1M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for goktug14/dinov2-small-fer

Finetuned
(7)
this model