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---
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dino-base-2023_10_31-demo-v5
results: []
pipeline_tag: image-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dino-base-2023_10_31-demo-v5
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0993
- F1 Micro: 0.8523
- F1 Macro: 0.7900
- Roc Auc: 0.9054
- Accuracy: 0.5712
## 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: 0.01
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-------:|:--------:|
| 0.1686 | 1.0 | 592 | 0.1334 | 0.8014 | 0.7001 | 0.8691 | 0.5017 |
| 0.1255 | 2.0 | 1184 | 0.1214 | 0.8129 | 0.7228 | 0.8768 | 0.5180 |
| 0.1167 | 3.0 | 1776 | 0.1210 | 0.8167 | 0.7202 | 0.8714 | 0.5259 |
| 0.1087 | 4.0 | 2368 | 0.1209 | 0.8215 | 0.7468 | 0.8967 | 0.5136 |
| 0.1078 | 5.0 | 2960 | 0.1179 | 0.8135 | 0.7248 | 0.8640 | 0.5323 |
| 0.0992 | 6.0 | 3552 | 0.1169 | 0.8280 | 0.7482 | 0.9010 | 0.5224 |
| 0.0961 | 7.0 | 4144 | 0.1144 | 0.8311 | 0.7605 | 0.9004 | 0.5209 |
| 0.0939 | 8.0 | 4736 | 0.1107 | 0.8393 | 0.7503 | 0.9092 | 0.5298 |
| 0.0942 | 9.0 | 5328 | 0.1157 | 0.8249 | 0.7416 | 0.8762 | 0.5515 |
| 0.0922 | 10.0 | 5920 | 0.1072 | 0.8364 | 0.7776 | 0.8973 | 0.5481 |
| 0.0895 | 11.0 | 6512 | 0.1102 | 0.8310 | 0.7631 | 0.8890 | 0.5328 |
| 0.0866 | 12.0 | 7104 | 0.1054 | 0.8473 | 0.7701 | 0.9099 | 0.5451 |
| 0.0872 | 13.0 | 7696 | 0.1055 | 0.8454 | 0.7851 | 0.9097 | 0.5436 |
| 0.085 | 14.0 | 8288 | 0.1069 | 0.8422 | 0.7684 | 0.9008 | 0.5559 |
| 0.0854 | 15.0 | 8880 | 0.1106 | 0.8316 | 0.7666 | 0.8926 | 0.5456 |
| 0.0841 | 16.0 | 9472 | 0.1068 | 0.8405 | 0.7681 | 0.8922 | 0.5702 |
| 0.0807 | 17.0 | 10064 | 0.1041 | 0.8460 | 0.7814 | 0.9051 | 0.5594 |
| 0.0819 | 18.0 | 10656 | 0.1053 | 0.8431 | 0.7822 | 0.9046 | 0.5466 |
| 0.0801 | 19.0 | 11248 | 0.1081 | 0.8395 | 0.7683 | 0.9063 | 0.5436 |
| 0.0795 | 20.0 | 11840 | 0.1077 | 0.8451 | 0.7721 | 0.8980 | 0.5520 |
| 0.0798 | 21.0 | 12432 | 0.1069 | 0.8390 | 0.7721 | 0.8839 | 0.5742 |
| 0.0784 | 22.0 | 13024 | 0.1050 | 0.8442 | 0.7847 | 0.9059 | 0.5461 |
| 0.0775 | 23.0 | 13616 | 0.1065 | 0.8443 | 0.7904 | 0.9072 | 0.5476 |
| 0.0727 | 24.0 | 14208 | 0.1010 | 0.8493 | 0.7910 | 0.9051 | 0.5678 |
| 0.0707 | 25.0 | 14800 | 0.1002 | 0.8496 | 0.7877 | 0.9058 | 0.5643 |
| 0.0697 | 26.0 | 15392 | 0.1006 | 0.8489 | 0.7886 | 0.9024 | 0.5692 |
| 0.0699 | 27.0 | 15984 | 0.1005 | 0.8531 | 0.7897 | 0.9054 | 0.5702 |
| 0.0692 | 28.0 | 16576 | 0.1001 | 0.8499 | 0.7894 | 0.9059 | 0.5663 |
| 0.0719 | 29.0 | 17168 | 0.0998 | 0.8524 | 0.7854 | 0.9058 | 0.5737 |
| 0.0686 | 30.0 | 17760 | 0.1006 | 0.8503 | 0.7897 | 0.9033 | 0.5663 |
| 0.0692 | 31.0 | 18352 | 0.1000 | 0.8519 | 0.7928 | 0.9055 | 0.5717 |
| 0.0707 | 32.0 | 18944 | 0.1000 | 0.8517 | 0.7862 | 0.9056 | 0.5737 |
| 0.0695 | 33.0 | 19536 | 0.1002 | 0.8517 | 0.7850 | 0.9012 | 0.5781 |
| 0.069 | 34.0 | 20128 | 0.1008 | 0.8477 | 0.7849 | 0.9003 | 0.5658 |
| 0.0686 | 35.0 | 20720 | 0.1004 | 0.8523 | 0.7866 | 0.9009 | 0.5732 |
| 0.0688 | 36.0 | 21312 | 0.0994 | 0.8517 | 0.7902 | 0.9058 | 0.5673 |
| 0.0688 | 37.0 | 21904 | 0.0994 | 0.8523 | 0.7900 | 0.9048 | 0.5732 |
| 0.0677 | 38.0 | 22496 | 0.0994 | 0.8520 | 0.7905 | 0.9051 | 0.5697 |
| 0.0678 | 39.0 | 23088 | 0.0995 | 0.8516 | 0.7911 | 0.9035 | 0.5747 |
| 0.068 | 40.0 | 23680 | 0.0994 | 0.8520 | 0.7888 | 0.9039 | 0.5712 |
| 0.0679 | 41.0 | 24272 | 0.0994 | 0.8535 | 0.7908 | 0.9056 | 0.5757 |
| 0.0682 | 42.0 | 24864 | 0.0993 | 0.8517 | 0.7883 | 0.9054 | 0.5707 |
| 0.0677 | 43.0 | 25456 | 0.0994 | 0.8516 | 0.7908 | 0.9052 | 0.5707 |
| 0.0678 | 44.0 | 26048 | 0.0995 | 0.8518 | 0.7916 | 0.9066 | 0.5673 |
| 0.0677 | 45.0 | 26640 | 0.0993 | 0.8519 | 0.7886 | 0.9054 | 0.5702 |
| 0.0684 | 46.0 | 27232 | 0.0995 | 0.8519 | 0.7909 | 0.9060 | 0.5697 |
| 0.0675 | 47.0 | 27824 | 0.0994 | 0.8524 | 0.7908 | 0.9048 | 0.5757 |
| 0.067 | 48.0 | 28416 | 0.0995 | 0.8521 | 0.7893 | 0.9044 | 0.5717 |
| 0.0675 | 49.0 | 29008 | 0.0994 | 0.8524 | 0.7902 | 0.9056 | 0.5707 |
| 0.0674 | 50.0 | 29600 | 0.0994 | 0.8517 | 0.7893 | 0.9051 | 0.5692 |
| 0.0679 | 51.0 | 30192 | 0.0993 | 0.8519 | 0.7898 | 0.9052 | 0.5697 |
| 0.0667 | 52.0 | 30784 | 0.0993 | 0.8523 | 0.7900 | 0.9054 | 0.5712 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1 |