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# Amoros_Beaugosse_batch_64_epochs_150_test-large-2025_05_31_74882-bs64_freeze

This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0794
- F1 Micro: 0.6595
- F1 Macro: 0.5426
- Accuracy: 0.5713
- Learning Rate: 0.0000

## 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: 0.001
- 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: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Micro | F1 Macro | Accuracy | Rate   |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:--------:|:------:|
| No log        | 1.0   | 489   | 0.1054          | 0.4744   | 0.1919   | 0.3282   | 0.001  |
| 0.2259        | 2.0   | 978   | 0.0981          | 0.5294   | 0.2757   | 0.3986   | 0.001  |
| 0.1119        | 3.0   | 1467  | 0.0943          | 0.5452   | 0.3540   | 0.4125   | 0.001  |
| 0.1063        | 4.0   | 1956  | 0.0947          | 0.5346   | 0.3396   | 0.4013   | 0.001  |
| 0.104         | 5.0   | 2445  | 0.0943          | 0.5597   | 0.3631   | 0.4329   | 0.001  |
| 0.1031        | 6.0   | 2934  | 0.0946          | 0.5400   | 0.3305   | 0.4131   | 0.001  |
| 0.1029        | 7.0   | 3423  | 0.0934          | 0.5622   | 0.3664   | 0.4370   | 0.001  |
| 0.1022        | 8.0   | 3912  | 0.0955          | 0.5511   | 0.3686   | 0.4273   | 0.001  |
| 0.1021        | 9.0   | 4401  | 0.0934          | 0.5745   | 0.3633   | 0.4571   | 0.001  |
| 0.102         | 10.0  | 4890  | 0.0930          | 0.5688   | 0.3772   | 0.4417   | 0.001  |
| 0.1027        | 11.0  | 5379  | 0.0930          | 0.5624   | 0.3707   | 0.4352   | 0.001  |
| 0.102         | 12.0  | 5868  | 0.0920          | 0.5713   | 0.3767   | 0.4449   | 0.001  |
| 0.1017        | 13.0  | 6357  | 0.0924          | 0.5641   | 0.3580   | 0.4338   | 0.001  |
| 0.1014        | 14.0  | 6846  | 0.0917          | 0.5733   | 0.3675   | 0.4502   | 0.001  |
| 0.1006        | 15.0  | 7335  | 0.0904          | 0.5817   | 0.3965   | 0.4611   | 0.001  |
| 0.1011        | 16.0  | 7824  | 0.0906          | 0.5759   | 0.4032   | 0.4497   | 0.001  |
| 0.1007        | 17.0  | 8313  | 0.0917          | 0.5629   | 0.3868   | 0.4328   | 0.001  |
| 0.1009        | 18.0  | 8802  | 0.0910          | 0.5791   | 0.3982   | 0.4546   | 0.001  |
| 0.1007        | 19.0  | 9291  | 0.0909          | 0.5657   | 0.3833   | 0.4363   | 0.001  |
| 0.1006        | 20.0  | 9780  | 0.0905          | 0.5832   | 0.3929   | 0.4619   | 0.001  |
| 0.1008        | 21.0  | 10269 | 0.0917          | 0.5678   | 0.4099   | 0.4367   | 0.001  |
| 0.0998        | 22.0  | 10758 | 0.0868          | 0.6078   | 0.4424   | 0.4921   | 0.0001 |
| 0.0947        | 23.0  | 11247 | 0.0861          | 0.6140   | 0.4472   | 0.5008   | 0.0001 |
| 0.0937        | 24.0  | 11736 | 0.0853          | 0.6166   | 0.4589   | 0.5022   | 0.0001 |
| 0.0932        | 25.0  | 12225 | 0.0849          | 0.6163   | 0.4571   | 0.5025   | 0.0001 |
| 0.0922        | 26.0  | 12714 | 0.0845          | 0.6215   | 0.4645   | 0.5119   | 0.0001 |
| 0.0912        | 27.0  | 13203 | 0.0842          | 0.6259   | 0.4661   | 0.5159   | 0.0001 |
| 0.091         | 28.0  | 13692 | 0.0839          | 0.6245   | 0.4658   | 0.5133   | 0.0001 |
| 0.0905        | 29.0  | 14181 | 0.0839          | 0.6248   | 0.4696   | 0.5141   | 0.0001 |
| 0.0903        | 30.0  | 14670 | 0.0835          | 0.6276   | 0.4716   | 0.5202   | 0.0001 |
| 0.09          | 31.0  | 15159 | 0.0832          | 0.6303   | 0.4792   | 0.5222   | 0.0001 |
| 0.0892        | 32.0  | 15648 | 0.0831          | 0.6310   | 0.4858   | 0.5261   | 0.0001 |
| 0.0893        | 33.0  | 16137 | 0.0826          | 0.6338   | 0.4873   | 0.5307   | 0.0001 |
| 0.0884        | 34.0  | 16626 | 0.0826          | 0.6320   | 0.4740   | 0.5241   | 0.0001 |
| 0.0882        | 35.0  | 17115 | 0.0824          | 0.6342   | 0.4855   | 0.5302   | 0.0001 |
| 0.0886        | 36.0  | 17604 | 0.0823          | 0.6351   | 0.4845   | 0.5326   | 0.0001 |
| 0.0881        | 37.0  | 18093 | 0.0822          | 0.6340   | 0.4825   | 0.5273   | 0.0001 |
| 0.0882        | 38.0  | 18582 | 0.0823          | 0.6383   | 0.4913   | 0.5369   | 0.0001 |
| 0.0876        | 39.0  | 19071 | 0.0819          | 0.6400   | 0.4970   | 0.5369   | 0.0001 |
| 0.0877        | 40.0  | 19560 | 0.0819          | 0.6372   | 0.4887   | 0.5315   | 0.0001 |
| 0.0864        | 41.0  | 20049 | 0.0821          | 0.6317   | 0.4833   | 0.5239   | 0.0001 |
| 0.0867        | 42.0  | 20538 | 0.0814          | 0.6395   | 0.5033   | 0.5369   | 0.0001 |
| 0.0871        | 43.0  | 21027 | 0.0812          | 0.6456   | 0.5000   | 0.5460   | 0.0001 |
| 0.087         | 44.0  | 21516 | 0.0812          | 0.6400   | 0.4966   | 0.5371   | 0.0001 |
| 0.0863        | 45.0  | 22005 | 0.0815          | 0.6392   | 0.5049   | 0.5344   | 0.0001 |
| 0.0863        | 46.0  | 22494 | 0.0812          | 0.6419   | 0.5045   | 0.5395   | 0.0001 |
| 0.0859        | 47.0  | 22983 | 0.0809          | 0.6452   | 0.5071   | 0.5442   | 0.0001 |
| 0.0858        | 48.0  | 23472 | 0.0811          | 0.6451   | 0.5108   | 0.5449   | 0.0001 |
| 0.0861        | 49.0  | 23961 | 0.0812          | 0.6415   | 0.4906   | 0.5406   | 0.0001 |
| 0.0856        | 50.0  | 24450 | 0.0808          | 0.6449   | 0.5024   | 0.5432   | 0.0001 |
| 0.0857        | 51.0  | 24939 | 0.0807          | 0.6466   | 0.5080   | 0.5475   | 0.0001 |
| 0.0857        | 52.0  | 25428 | 0.0808          | 0.6432   | 0.5082   | 0.5414   | 0.0001 |
| 0.0852        | 53.0  | 25917 | 0.0806          | 0.6507   | 0.5132   | 0.5525   | 0.0001 |
| 0.0847        | 54.0  | 26406 | 0.0806          | 0.6436   | 0.5143   | 0.5420   | 0.0001 |
| 0.0849        | 55.0  | 26895 | 0.0809          | 0.6429   | 0.5096   | 0.5409   | 0.0001 |
| 0.0847        | 56.0  | 27384 | 0.0807          | 0.6486   | 0.5029   | 0.5485   | 0.0001 |
| 0.0845        | 57.0  | 27873 | 0.0807          | 0.6439   | 0.5007   | 0.5412   | 0.0001 |
| 0.0848        | 58.0  | 28362 | 0.0806          | 0.6497   | 0.4993   | 0.5520   | 0.0001 |
| 0.0843        | 59.0  | 28851 | 0.0804          | 0.6445   | 0.4995   | 0.5391   | 0.0001 |
| 0.0839        | 60.0  | 29340 | 0.0801          | 0.6549   | 0.5226   | 0.5597   | 0.0001 |
| 0.0844        | 61.0  | 29829 | 0.0807          | 0.6450   | 0.4941   | 0.5454   | 0.0001 |
| 0.0832        | 62.0  | 30318 | 0.0801          | 0.6470   | 0.5134   | 0.5438   | 0.0001 |
| 0.084         | 63.0  | 30807 | 0.0804          | 0.6494   | 0.5026   | 0.5517   | 0.0001 |
| 0.0834        | 64.0  | 31296 | 0.0802          | 0.6448   | 0.5091   | 0.5431   | 0.0001 |
| 0.0841        | 65.0  | 31785 | 0.0804          | 0.6504   | 0.5109   | 0.5513   | 0.0001 |
| 0.0837        | 66.0  | 32274 | 0.0802          | 0.6483   | 0.5137   | 0.5487   | 0.0001 |
| 0.0833        | 67.0  | 32763 | 0.0801          | 0.6517   | 0.5166   | 0.5557   | 0.0001 |
| 0.0836        | 68.0  | 33252 | 0.0798          | 0.6553   | 0.5184   | 0.5574   | 0.0001 |
| 0.0835        | 69.0  | 33741 | 0.0802          | 0.6516   | 0.5112   | 0.5549   | 0.0001 |
| 0.0827        | 70.0  | 34230 | 0.0798          | 0.6536   | 0.5232   | 0.5561   | 0.0001 |
| 0.0832        | 71.0  | 34719 | 0.0801          | 0.6510   | 0.5223   | 0.5536   | 0.0001 |
| 0.0831        | 72.0  | 35208 | 0.0799          | 0.6534   | 0.5130   | 0.5583   | 0.0001 |
| 0.0832        | 73.0  | 35697 | 0.0799          | 0.6489   | 0.5129   | 0.5487   | 0.0001 |
| 0.0836        | 74.0  | 36186 | 0.0799          | 0.6451   | 0.5035   | 0.5437   | 0.0001 |
| 0.0827        | 75.0  | 36675 | 0.0798          | 0.6520   | 0.5196   | 0.5533   | 0.0001 |
| 0.0827        | 76.0  | 37164 | 0.0797          | 0.6507   | 0.5247   | 0.5498   | 0.0001 |
| 0.0832        | 77.0  | 37653 | 0.0797          | 0.6537   | 0.5186   | 0.5574   | 0.0001 |
| 0.0824        | 78.0  | 38142 | 0.0796          | 0.6520   | 0.5284   | 0.5534   | 0.0001 |
| 0.0828        | 79.0  | 38631 | 0.0795          | 0.6536   | 0.5135   | 0.5572   | 0.0001 |
| 0.0824        | 80.0  | 39120 | 0.0797          | 0.6519   | 0.5117   | 0.5523   | 0.0001 |
| 0.0822        | 81.0  | 39609 | 0.0795          | 0.6548   | 0.5192   | 0.5586   | 0.0001 |
| 0.0824        | 82.0  | 40098 | 0.0796          | 0.6550   | 0.5164   | 0.5610   | 0.0001 |
| 0.0822        | 83.0  | 40587 | 0.0796          | 0.6556   | 0.5408   | 0.5607   | 0.0001 |
| 0.0818        | 84.0  | 41076 | 0.0792          | 0.6562   | 0.5267   | 0.5631   | 0.0001 |
| 0.0826        | 85.0  | 41565 | 0.0795          | 0.6517   | 0.5200   | 0.5559   | 0.0001 |
| 0.0819        | 86.0  | 42054 | 0.0794          | 0.6546   | 0.5127   | 0.5579   | 0.0001 |
| 0.0822        | 87.0  | 42543 | 0.0794          | 0.6566   | 0.5185   | 0.5613   | 0.0001 |
| 0.0818        | 88.0  | 43032 | 0.0794          | 0.6549   | 0.5269   | 0.5598   | 0.0001 |
| 0.0817        | 89.0  | 43521 | 0.0795          | 0.6555   | 0.5239   | 0.5585   | 0.0001 |
| 0.082         | 90.0  | 44010 | 0.0794          | 0.6518   | 0.5180   | 0.5536   | 0.0001 |
| 0.082         | 91.0  | 44499 | 0.0787          | 0.6601   | 0.5286   | 0.5699   | 1e-05  |
| 0.0804        | 92.0  | 44988 | 0.0786          | 0.6590   | 0.5243   | 0.5656   | 1e-05  |
| 0.0803        | 93.0  | 45477 | 0.0785          | 0.6585   | 0.5256   | 0.5645   | 1e-05  |
| 0.0792        | 94.0  | 45966 | 0.0785          | 0.6592   | 0.5281   | 0.5646   | 1e-05  |
| 0.0789        | 95.0  | 46455 | 0.0785          | 0.6603   | 0.5329   | 0.5696   | 1e-05  |
| 0.0788        | 96.0  | 46944 | 0.0785          | 0.6602   | 0.5236   | 0.5685   | 1e-05  |
| 0.0786        | 97.0  | 47433 | 0.0785          | 0.6590   | 0.5270   | 0.5653   | 1e-05  |
| 0.0789        | 98.0  | 47922 | 0.0784          | 0.6629   | 0.5348   | 0.5727   | 1e-05  |
| 0.0783        | 99.0  | 48411 | 0.0784          | 0.6626   | 0.5344   | 0.5726   | 1e-05  |
| 0.0789        | 100.0 | 48900 | 0.0785          | 0.6607   | 0.5257   | 0.5709   | 1e-05  |
| 0.0783        | 101.0 | 49389 | 0.0783          | 0.6620   | 0.5332   | 0.5723   | 1e-05  |
| 0.0783        | 102.0 | 49878 | 0.0783          | 0.6644   | 0.5335   | 0.5750   | 1e-05  |
| 0.0781        | 103.0 | 50367 | 0.0783          | 0.6652   | 0.5375   | 0.5796   | 1e-05  |
| 0.0782        | 104.0 | 50856 | 0.0783          | 0.6644   | 0.5414   | 0.5751   | 1e-05  |
| 0.0776        | 105.0 | 51345 | 0.0783          | 0.6646   | 0.5412   | 0.5776   | 1e-05  |
| 0.0778        | 106.0 | 51834 | 0.0782          | 0.6670   | 0.5439   | 0.5803   | 1e-05  |
| 0.0777        | 107.0 | 52323 | 0.0781          | 0.6652   | 0.5333   | 0.5771   | 1e-05  |
| 0.0778        | 108.0 | 52812 | 0.0782          | 0.6628   | 0.5354   | 0.5716   | 1e-05  |
| 0.078         | 109.0 | 53301 | 0.0781          | 0.6640   | 0.5352   | 0.5752   | 1e-05  |
| 0.0785        | 110.0 | 53790 | 0.0780          | 0.6655   | 0.5345   | 0.5752   | 1e-05  |
| 0.0772        | 111.0 | 54279 | 0.0781          | 0.6639   | 0.5403   | 0.5748   | 1e-05  |
| 0.0779        | 112.0 | 54768 | 0.0780          | 0.6648   | 0.5373   | 0.5767   | 1e-05  |
| 0.0774        | 113.0 | 55257 | 0.0781          | 0.6658   | 0.5446   | 0.5792   | 1e-05  |
| 0.0774        | 114.0 | 55746 | 0.0780          | 0.6672   | 0.5445   | 0.5801   | 1e-05  |
| 0.078         | 115.0 | 56235 | 0.0782          | 0.6671   | 0.5445   | 0.5816   | 1e-05  |
| 0.0773        | 116.0 | 56724 | 0.0782          | 0.6647   | 0.5352   | 0.5756   | 1e-05  |
| 0.0779        | 117.0 | 57213 | 0.0781          | 0.6641   | 0.5323   | 0.5758   | 1e-05  |
| 0.0769        | 118.0 | 57702 | 0.0781          | 0.6655   | 0.5342   | 0.5774   | 1e-05  |
| 0.0773        | 119.0 | 58191 | 0.0780          | 0.6655   | 0.5362   | 0.5769   | 0.0000 |
| 0.0771        | 120.0 | 58680 | 0.0780          | 0.6663   | 0.5425   | 0.5777   | 0.0000 |
| 0.0769        | 121.0 | 59169 | 0.0781          | 0.6668   | 0.5404   | 0.5806   | 0.0000 |
| 0.0769        | 122.0 | 59658 | 0.0780          | 0.6680   | 0.5436   | 0.5817   | 0.0000 |
| 0.0771        | 123.0 | 60147 | 0.0780          | 0.6667   | 0.5441   | 0.5798   | 0.0000 |
| 0.0773        | 124.0 | 60636 | 0.0780          | 0.6664   | 0.5436   | 0.5784   | 0.0000 |
| 0.0773        | 125.0 | 61125 | 0.0780          | 0.6660   | 0.5453   | 0.5777   | 0.0000 |
| 0.077         | 126.0 | 61614 | 0.0779          | 0.6632   | 0.5347   | 0.5726   | 0.0000 |
| 0.0774        | 127.0 | 62103 | 0.0780          | 0.6649   | 0.5324   | 0.5757   | 0.0000 |
| 0.0767        | 128.0 | 62592 | 0.0780          | 0.6662   | 0.5357   | 0.5765   | 0.0000 |
| 0.077         | 129.0 | 63081 | 0.0779          | 0.6664   | 0.5404   | 0.5773   | 0.0000 |
| 0.0773        | 130.0 | 63570 | 0.0781          | 0.6670   | 0.5409   | 0.5802   | 0.0000 |
| 0.0772        | 131.0 | 64059 | 0.0779          | 0.6686   | 0.5461   | 0.5828   | 0.0000 |
| 0.0772        | 132.0 | 64548 | 0.0779          | 0.6671   | 0.5430   | 0.5789   | 0.0000 |
| 0.077         | 133.0 | 65037 | 0.0780          | 0.6678   | 0.5418   | 0.5817   | 0.0000 |
| 0.0769        | 134.0 | 65526 | 0.0780          | 0.6670   | 0.5429   | 0.5796   | 0.0000 |
| 0.0766        | 135.0 | 66015 | 0.0779          | 0.6676   | 0.5453   | 0.5783   | 0.0000 |
| 0.0772        | 136.0 | 66504 | 0.0779          | 0.6646   | 0.5399   | 0.5750   | 0.0000 |
| 0.0772        | 137.0 | 66993 | 0.0780          | 0.6651   | 0.5299   | 0.5755   | 0.0000 |
| 0.0773        | 138.0 | 67482 | 0.0780          | 0.6664   | 0.5401   | 0.5793   | 0.0000 |
| 0.0771        | 139.0 | 67971 | 0.0780          | 0.6657   | 0.5310   | 0.5784   | 0.0000 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.6.0+cu118
- Datasets 3.0.2
- Tokenizers 0.21.1

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