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# Amoros_Beaugosse_test-large-2025_05_21_36883-bs16_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: 0.0853
- F1 Micro: 0.6248
- F1 Macro: 0.4593
- Accuracy: 0.5213
- 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: 16
- eval_batch_size: 16
- 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: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | F1 Micro | F1 Macro | Accuracy | Rate   |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:--------:|:--------:|:------:|
| 0.1213        | 1.0   | 1953   | 0.1046          | 0.4612   | 0.2564   | 0.3234   | 0.001  |
| 0.1152        | 2.0   | 3906   | 0.1038          | 0.4901   | 0.2770   | 0.3573   | 0.001  |
| 0.1147        | 3.0   | 5859   | 0.1009          | 0.4919   | 0.2707   | 0.3565   | 0.001  |
| 0.1141        | 4.0   | 7812   | 0.1008          | 0.4977   | 0.2798   | 0.3596   | 0.001  |
| 0.1127        | 5.0   | 9765   | 0.1019          | 0.5050   | 0.2555   | 0.3705   | 0.001  |
| 0.1131        | 6.0   | 11718  | 0.1001          | 0.5039   | 0.2749   | 0.3700   | 0.001  |
| 0.1133        | 7.0   | 13671  | 0.1004          | 0.5146   | 0.3024   | 0.3790   | 0.001  |
| 0.1128        | 8.0   | 15624  | 0.1004          | 0.5112   | 0.2921   | 0.3798   | 0.001  |
| 0.1119        | 9.0   | 17577  | 0.0984          | 0.5345   | 0.2850   | 0.4081   | 0.001  |
| 0.1145        | 10.0  | 19530  | 0.1012          | 0.5173   | 0.3044   | 0.3820   | 0.001  |
| 0.1128        | 11.0  | 21483  | 0.0998          | 0.5087   | 0.2539   | 0.3724   | 0.001  |
| 0.1131        | 12.0  | 23436  | 0.0987          | 0.5197   | 0.2886   | 0.3841   | 0.001  |
| 0.1109        | 13.0  | 25389  | 0.0980          | 0.5060   | 0.2898   | 0.3651   | 0.001  |
| 0.1122        | 14.0  | 27342  | 0.0994          | 0.5217   | 0.2700   | 0.3878   | 0.001  |
| 0.113         | 15.0  | 29295  | 0.1008          | 0.5238   | 0.2805   | 0.3908   | 0.001  |
| 0.1135        | 16.0  | 31248  | 0.0981          | 0.5208   | 0.2764   | 0.3859   | 0.001  |
| 0.1137        | 17.0  | 33201  | 0.0978          | 0.5259   | 0.2954   | 0.3905   | 0.001  |
| 0.114         | 18.0  | 35154  | 0.0994          | 0.5162   | 0.2774   | 0.3836   | 0.001  |
| 0.1143        | 19.0  | 37107  | 0.0976          | 0.5134   | 0.2685   | 0.3742   | 0.001  |
| 0.1144        | 20.0  | 39060  | 0.0979          | 0.5194   | 0.2862   | 0.3801   | 0.001  |
| 0.1154        | 21.0  | 41013  | 0.1040          | 0.5174   | 0.2748   | 0.3874   | 0.001  |
| 0.1133        | 22.0  | 42966  | 0.0971          | 0.5323   | 0.3003   | 0.4011   | 0.001  |
| 0.114         | 23.0  | 44919  | 0.0982          | 0.5241   | 0.2923   | 0.3912   | 0.001  |
| 0.1113        | 24.0  | 46872  | 0.0985          | 0.5161   | 0.2783   | 0.3793   | 0.001  |
| 0.1132        | 25.0  | 48825  | 0.0996          | 0.5160   | 0.2651   | 0.3792   | 0.001  |
| 0.1127        | 26.0  | 50778  | 0.0987          | 0.5367   | 0.2911   | 0.4103   | 0.001  |
| 0.1135        | 27.0  | 52731  | 0.0987          | 0.5277   | 0.2785   | 0.3952   | 0.001  |
| 0.1133        | 28.0  | 54684  | 0.1018          | 0.5285   | 0.2633   | 0.4042   | 0.001  |
| 0.1064        | 29.0  | 56637  | 0.0944          | 0.5590   | 0.3221   | 0.4321   | 0.0001 |
| 0.1063        | 30.0  | 58590  | 0.0929          | 0.5714   | 0.3412   | 0.4493   | 0.0001 |
| 0.1042        | 31.0  | 60543  | 0.0918          | 0.5832   | 0.3729   | 0.4619   | 0.0001 |
| 0.1038        | 32.0  | 62496  | 0.0912          | 0.5768   | 0.3565   | 0.4528   | 0.0001 |
| 0.103         | 33.0  | 64449  | 0.0904          | 0.5873   | 0.3712   | 0.4670   | 0.0001 |
| 0.1036        | 34.0  | 66402  | 0.0903          | 0.5843   | 0.3731   | 0.4594   | 0.0001 |
| 0.1047        | 35.0  | 68355  | 0.0903          | 0.5869   | 0.3827   | 0.4621   | 0.0001 |
| 0.1026        | 36.0  | 70308  | 0.0897          | 0.5943   | 0.3954   | 0.4729   | 0.0001 |
| 0.1028        | 37.0  | 72261  | 0.0893          | 0.5983   | 0.3983   | 0.4794   | 0.0001 |
| 0.1022        | 38.0  | 74214  | 0.0892          | 0.5997   | 0.4080   | 0.4820   | 0.0001 |
| 0.1012        | 39.0  | 76167  | 0.0889          | 0.6008   | 0.3995   | 0.4822   | 0.0001 |
| 0.1022        | 40.0  | 78120  | 0.0884          | 0.6030   | 0.4085   | 0.4843   | 0.0001 |
| 0.1002        | 41.0  | 80073  | 0.0888          | 0.5940   | 0.3896   | 0.4700   | 0.0001 |
| 0.1008        | 42.0  | 82026  | 0.0880          | 0.6024   | 0.4174   | 0.4807   | 0.0001 |
| 0.0991        | 43.0  | 83979  | 0.0882          | 0.6065   | 0.4184   | 0.4895   | 0.0001 |
| 0.1005        | 44.0  | 85932  | 0.0881          | 0.6047   | 0.4126   | 0.4860   | 0.0001 |
| 0.1001        | 45.0  | 87885  | 0.0878          | 0.6090   | 0.4236   | 0.4940   | 0.0001 |
| 0.0989        | 46.0  | 89838  | 0.0875          | 0.6053   | 0.4205   | 0.4862   | 0.0001 |
| 0.0996        | 47.0  | 91791  | 0.0873          | 0.6069   | 0.4215   | 0.4880   | 0.0001 |
| 0.0986        | 48.0  | 93744  | 0.0869          | 0.6110   | 0.4260   | 0.4938   | 0.0001 |
| 0.0988        | 49.0  | 95697  | 0.0872          | 0.6114   | 0.4155   | 0.4966   | 0.0001 |
| 0.0994        | 50.0  | 97650  | 0.0871          | 0.6136   | 0.4336   | 0.4974   | 0.0001 |
| 0.0998        | 51.0  | 99603  | 0.0872          | 0.6104   | 0.4271   | 0.4947   | 0.0001 |
| 0.0992        | 52.0  | 101556 | 0.0871          | 0.6109   | 0.4289   | 0.4951   | 0.0001 |
| 0.0988        | 53.0  | 103509 | 0.0871          | 0.6137   | 0.4268   | 0.4990   | 0.0001 |
| 0.0977        | 54.0  | 105462 | 0.0867          | 0.6147   | 0.4405   | 0.5006   | 0.0001 |
| 0.0987        | 55.0  | 107415 | 0.0872          | 0.6131   | 0.4344   | 0.4986   | 0.0001 |
| 0.0985        | 56.0  | 109368 | 0.0865          | 0.6122   | 0.4268   | 0.4959   | 0.0001 |
| 0.0982        | 57.0  | 111321 | 0.0864          | 0.6177   | 0.4405   | 0.5041   | 0.0001 |
| 0.0997        | 58.0  | 113274 | 0.0865          | 0.6104   | 0.4243   | 0.4962   | 0.0001 |
| 0.0982        | 59.0  | 115227 | 0.0865          | 0.6165   | 0.4318   | 0.5044   | 0.0001 |
| 0.0973        | 60.0  | 117180 | 0.0868          | 0.6140   | 0.4458   | 0.4993   | 0.0001 |
| 0.0974        | 61.0  | 119133 | 0.0872          | 0.6115   | 0.4204   | 0.4940   | 0.0001 |
| 0.0976        | 62.0  | 121086 | 0.0862          | 0.6121   | 0.4359   | 0.4944   | 0.0001 |
| 0.0977        | 63.0  | 123039 | 0.0865          | 0.6087   | 0.4275   | 0.4900   | 0.0001 |
| 0.0968        | 64.0  | 124992 | 0.0862          | 0.6156   | 0.4383   | 0.5010   | 0.0001 |
| 0.0971        | 65.0  | 126945 | 0.0864          | 0.6151   | 0.4484   | 0.5009   | 0.0001 |
| 0.0968        | 66.0  | 128898 | 0.0857          | 0.6216   | 0.4437   | 0.5099   | 0.0001 |
| 0.0962        | 67.0  | 130851 | 0.0859          | 0.6186   | 0.4409   | 0.5051   | 0.0001 |
| 0.0977        | 68.0  | 132804 | 0.0859          | 0.6186   | 0.4427   | 0.5049   | 0.0001 |
| 0.0969        | 69.0  | 134757 | 0.0863          | 0.6197   | 0.4344   | 0.5109   | 0.0001 |
| 0.0972        | 70.0  | 136710 | 0.0858          | 0.6242   | 0.4471   | 0.5158   | 0.0001 |
| 0.0961        | 71.0  | 138663 | 0.0858          | 0.6219   | 0.4529   | 0.5104   | 0.0001 |
| 0.0972        | 72.0  | 140616 | 0.0858          | 0.6215   | 0.4392   | 0.5131   | 0.0001 |
| 0.0948        | 73.0  | 142569 | 0.0852          | 0.6232   | 0.4489   | 0.5112   | 1e-05  |
| 0.0956        | 74.0  | 144522 | 0.0850          | 0.6263   | 0.4569   | 0.5188   | 1e-05  |
| 0.0928        | 75.0  | 146475 | 0.0848          | 0.6273   | 0.4543   | 0.5189   | 1e-05  |
| 0.0963        | 76.0  | 148428 | 0.0847          | 0.6299   | 0.4604   | 0.5244   | 1e-05  |
| 0.0946        | 77.0  | 150381 | 0.0846          | 0.6272   | 0.4473   | 0.5187   | 1e-05  |
| 0.0947        | 78.0  | 152334 | 0.0845          | 0.6325   | 0.4540   | 0.5271   | 1e-05  |
| 0.0939        | 79.0  | 154287 | 0.0846          | 0.6245   | 0.4471   | 0.5143   | 1e-05  |
| 0.0938        | 80.0  | 156240 | 0.0846          | 0.6264   | 0.4489   | 0.5169   | 1e-05  |
| 0.0946        | 81.0  | 158193 | 0.0844          | 0.6299   | 0.4637   | 0.5227   | 1e-05  |
| 0.0937        | 82.0  | 160146 | 0.0844          | 0.6307   | 0.4596   | 0.5253   | 1e-05  |
| 0.094         | 83.0  | 162099 | 0.0844          | 0.6289   | 0.4588   | 0.5218   | 1e-05  |
| 0.0957        | 84.0  | 164052 | 0.0841          | 0.6286   | 0.4608   | 0.5221   | 1e-05  |
| 0.0934        | 85.0  | 166005 | 0.0844          | 0.6270   | 0.4572   | 0.5195   | 1e-05  |
| 0.0932        | 86.0  | 167958 | 0.0841          | 0.6310   | 0.4637   | 0.5262   | 1e-05  |
| 0.0938        | 87.0  | 169911 | 0.0844          | 0.6282   | 0.4543   | 0.5218   | 1e-05  |
| 0.0926        | 88.0  | 171864 | 0.0844          | 0.6318   | 0.4613   | 0.5267   | 1e-05  |
| 0.0937        | 89.0  | 173817 | 0.0843          | 0.6260   | 0.4494   | 0.5152   | 1e-05  |
| 0.0925        | 90.0  | 175770 | 0.0844          | 0.6243   | 0.4515   | 0.5140   | 1e-05  |
| 0.0937        | 91.0  | 177723 | 0.0841          | 0.6327   | 0.4606   | 0.5276   | 1e-05  |
| 0.0924        | 92.0  | 179676 | 0.0841          | 0.6301   | 0.4568   | 0.5226   | 1e-05  |
| 0.0923        | 93.0  | 181629 | 0.0839          | 0.6317   | 0.4593   | 0.5272   | 0.0000 |
| 0.0929        | 94.0  | 183582 | 0.0841          | 0.6301   | 0.4572   | 0.5234   | 0.0000 |
| 0.0924        | 95.0  | 185535 | 0.0844          | 0.6308   | 0.4614   | 0.5248   | 0.0000 |
| 0.0937        | 96.0  | 187488 | 0.0839          | 0.6314   | 0.4611   | 0.5251   | 0.0000 |
| 0.0926        | 97.0  | 189441 | 0.0843          | 0.6296   | 0.4546   | 0.5227   | 0.0000 |
| 0.0951        | 98.0  | 191394 | 0.0842          | 0.6294   | 0.4556   | 0.5217   | 0.0000 |
| 0.0928        | 99.0  | 193347 | 0.0840          | 0.6301   | 0.4615   | 0.5236   | 0.0000 |
| 0.093         | 100.0 | 195300 | 0.0842          | 0.6319   | 0.4612   | 0.5263   | 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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