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# DinoAmoros_is_103_bs_32_ep_150-large-2025_05_30_52071-bs32_freeze_monolabel

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: 0.9936
- F1 Micro: 0.6615
- F1 Macro: 0.5762
- Accuracy: 0.6615
- 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: 32
- eval_batch_size: 32
- 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   |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:--------:|:--------:|:------:|
| 1.7837        | 1.0   | 977    | 1.3164          | 0.5792   | 0.4109   | 0.5792   | 0.001  |
| 1.4869        | 2.0   | 1954   | 1.2393          | 0.5998   | 0.4409   | 0.5998   | 0.001  |
| 1.411         | 3.0   | 2931   | 1.2197          | 0.6012   | 0.4388   | 0.6012   | 0.001  |
| 1.3905        | 4.0   | 3908   | 1.2161          | 0.6063   | 0.4860   | 0.6063   | 0.001  |
| 1.3669        | 5.0   | 4885   | 1.1722          | 0.6228   | 0.4934   | 0.6228   | 0.001  |
| 1.3543        | 6.0   | 5862   | 1.1832          | 0.6160   | 0.4913   | 0.6160   | 0.001  |
| 1.3467        | 7.0   | 6839   | 1.1737          | 0.6217   | 0.5017   | 0.6217   | 0.001  |
| 1.3254        | 8.0   | 7816   | 1.1449          | 0.6246   | 0.4999   | 0.6246   | 0.001  |
| 1.3188        | 9.0   | 8793   | 1.1404          | 0.6291   | 0.4972   | 0.6291   | 0.001  |
| 1.3129        | 10.0  | 9770   | 1.1476          | 0.6307   | 0.5074   | 0.6307   | 0.001  |
| 1.298         | 11.0  | 10747  | 1.1268          | 0.6347   | 0.4888   | 0.6347   | 0.001  |
| 1.3001        | 12.0  | 11724  | 1.1318          | 0.6285   | 0.5200   | 0.6285   | 0.001  |
| 1.2705        | 13.0  | 12701  | 1.1183          | 0.6372   | 0.5359   | 0.6372   | 0.001  |
| 1.2699        | 14.0  | 13678  | 1.1077          | 0.6302   | 0.5163   | 0.6302   | 0.001  |
| 1.2747        | 15.0  | 14655  | 1.1005          | 0.6417   | 0.5250   | 0.6417   | 0.001  |
| 1.2826        | 16.0  | 15632  | 1.0989          | 0.6393   | 0.5227   | 0.6393   | 0.001  |
| 1.2753        | 17.0  | 16609  | 1.1159          | 0.6340   | 0.5331   | 0.6340   | 0.001  |
| 1.2792        | 18.0  | 17586  | 1.0937          | 0.6369   | 0.5375   | 0.6369   | 0.001  |
| 1.2745        | 19.0  | 18563  | 1.0863          | 0.6441   | 0.5441   | 0.6441   | 0.001  |
| 1.2681        | 20.0  | 19540  | 1.0973          | 0.6378   | 0.5382   | 0.6378   | 0.001  |
| 1.2765        | 21.0  | 20517  | 1.1111          | 0.6344   | 0.5367   | 0.6344   | 0.001  |
| 1.2704        | 22.0  | 21494  | 1.0776          | 0.6439   | 0.5398   | 0.6439   | 0.001  |
| 1.2516        | 23.0  | 22471  | 1.0827          | 0.6429   | 0.5510   | 0.6429   | 0.001  |
| 1.2487        | 24.0  | 23448  | 1.0872          | 0.6449   | 0.5306   | 0.6449   | 0.001  |
| 1.257         | 25.0  | 24425  | 1.0920          | 0.6388   | 0.5157   | 0.6388   | 0.001  |
| 1.2474        | 26.0  | 25402  | 1.0984          | 0.6369   | 0.5073   | 0.6369   | 0.001  |
| 1.2522        | 27.0  | 26379  | 1.0984          | 0.6404   | 0.5160   | 0.6404   | 0.001  |
| 1.251         | 28.0  | 27356  | 1.0838          | 0.6435   | 0.5323   | 0.6435   | 0.001  |
| 1.1971        | 29.0  | 28333  | 1.0550          | 0.6512   | 0.5436   | 0.6512   | 0.0001 |
| 1.1875        | 30.0  | 29310  | 1.0398          | 0.6557   | 0.5506   | 0.6557   | 0.0001 |
| 1.1647        | 31.0  | 30287  | 1.0447          | 0.6567   | 0.5570   | 0.6567   | 0.0001 |
| 1.1458        | 32.0  | 31264  | 1.0314          | 0.6556   | 0.5592   | 0.6556   | 0.0001 |
| 1.1549        | 33.0  | 32241  | 1.0268          | 0.6589   | 0.5575   | 0.6589   | 0.0001 |
| 1.1499        | 34.0  | 33218  | 1.0237          | 0.6594   | 0.5593   | 0.6594   | 0.0001 |
| 1.1402        | 35.0  | 34195  | 1.0221          | 0.6587   | 0.5588   | 0.6587   | 0.0001 |
| 1.1519        | 36.0  | 35172  | 1.0216          | 0.6591   | 0.5641   | 0.6591   | 0.0001 |
| 1.1303        | 37.0  | 36149  | 1.0180          | 0.6619   | 0.5635   | 0.6619   | 0.0001 |
| 1.1317        | 38.0  | 37126  | 1.0174          | 0.6609   | 0.5601   | 0.6609   | 0.0001 |
| 1.1298        | 39.0  | 38103  | 1.0162          | 0.6631   | 0.5738   | 0.6631   | 0.0001 |
| 1.131         | 40.0  | 39080  | 1.0139          | 0.6610   | 0.5636   | 0.6610   | 0.0001 |
| 1.1206        | 41.0  | 40057  | 1.0147          | 0.6632   | 0.5665   | 0.6632   | 0.0001 |
| 1.1119        | 42.0  | 41034  | 1.0114          | 0.6621   | 0.5719   | 0.6621   | 0.0001 |
| 1.1051        | 43.0  | 42011  | 1.0120          | 0.6635   | 0.5741   | 0.6635   | 0.0001 |
| 1.1067        | 44.0  | 42988  | 1.0062          | 0.6632   | 0.5743   | 0.6632   | 0.0001 |
| 1.1096        | 45.0  | 43965  | 1.0066          | 0.6629   | 0.5715   | 0.6629   | 0.0001 |
| 1.106         | 46.0  | 44942  | 1.0081          | 0.6641   | 0.5788   | 0.6641   | 0.0001 |
| 1.1004        | 47.0  | 45919  | 1.0084          | 0.6621   | 0.5664   | 0.6621   | 0.0001 |
| 1.0996        | 48.0  | 46896  | 1.0034          | 0.6640   | 0.5789   | 0.6640   | 0.0001 |
| 1.1055        | 49.0  | 47873  | 1.0056          | 0.6644   | 0.5710   | 0.6644   | 0.0001 |
| 1.0928        | 50.0  | 48850  | 1.0027          | 0.6637   | 0.5762   | 0.6637   | 0.0001 |
| 1.0957        | 51.0  | 49827  | 1.0016          | 0.6640   | 0.5755   | 0.6640   | 0.0001 |
| 1.094         | 52.0  | 50804  | 1.0034          | 0.6660   | 0.5828   | 0.6660   | 0.0001 |
| 1.0851        | 53.0  | 51781  | 1.0005          | 0.6657   | 0.5774   | 0.6657   | 0.0001 |
| 1.0858        | 54.0  | 52758  | 1.0015          | 0.6665   | 0.5853   | 0.6665   | 0.0001 |
| 1.0887        | 55.0  | 53735  | 1.0008          | 0.6641   | 0.5816   | 0.6641   | 0.0001 |
| 1.0894        | 56.0  | 54712  | 1.0011          | 0.6633   | 0.5740   | 0.6633   | 0.0001 |
| 1.0721        | 57.0  | 55689  | 0.9987          | 0.6675   | 0.5810   | 0.6675   | 0.0001 |
| 1.0847        | 58.0  | 56666  | 0.9987          | 0.6647   | 0.5739   | 0.6647   | 0.0001 |
| 1.087         | 59.0  | 57643  | 0.9975          | 0.6680   | 0.5868   | 0.6680   | 0.0001 |
| 1.0957        | 60.0  | 58620  | 0.9997          | 0.6668   | 0.5825   | 0.6668   | 0.0001 |
| 1.0562        | 61.0  | 59597  | 0.9961          | 0.6655   | 0.5857   | 0.6655   | 0.0001 |
| 1.0792        | 62.0  | 60574  | 0.9957          | 0.6669   | 0.5864   | 0.6669   | 0.0001 |
| 1.0654        | 63.0  | 61551  | 0.9942          | 0.6646   | 0.5848   | 0.6646   | 0.0001 |
| 1.0794        | 64.0  | 62528  | 0.9977          | 0.6631   | 0.5768   | 0.6631   | 0.0001 |
| 1.0688        | 65.0  | 63505  | 0.9981          | 0.6675   | 0.5840   | 0.6675   | 0.0001 |
| 1.0702        | 66.0  | 64482  | 0.9941          | 0.6678   | 0.5827   | 0.6678   | 0.0001 |
| 1.0719        | 67.0  | 65459  | 0.9940          | 0.6673   | 0.5887   | 0.6673   | 0.0001 |
| 1.0606        | 68.0  | 66436  | 0.9937          | 0.6665   | 0.5906   | 0.6665   | 0.0001 |
| 1.073         | 69.0  | 67413  | 0.9925          | 0.6684   | 0.5864   | 0.6684   | 0.0001 |
| 1.0729        | 70.0  | 68390  | 0.9926          | 0.6666   | 0.5869   | 0.6666   | 0.0001 |
| 1.0579        | 71.0  | 69367  | 0.9945          | 0.6668   | 0.5925   | 0.6668   | 0.0001 |
| 1.0619        | 72.0  | 70344  | 0.9900          | 0.6654   | 0.5865   | 0.6654   | 0.0001 |
| 1.0603        | 73.0  | 71321  | 0.9959          | 0.6679   | 0.5885   | 0.6679   | 0.0001 |
| 1.0596        | 74.0  | 72298  | 0.9902          | 0.6652   | 0.5860   | 0.6652   | 0.0001 |
| 1.0488        | 75.0  | 73275  | 0.9896          | 0.6664   | 0.5904   | 0.6664   | 0.0001 |
| 1.0494        | 76.0  | 74252  | 0.9927          | 0.6650   | 0.5839   | 0.6650   | 0.0001 |
| 1.0637        | 77.0  | 75229  | 0.9886          | 0.6675   | 0.5902   | 0.6675   | 0.0001 |
| 1.0594        | 78.0  | 76206  | 0.9865          | 0.6675   | 0.5811   | 0.6675   | 0.0001 |
| 1.0476        | 79.0  | 77183  | 0.9862          | 0.6647   | 0.5847   | 0.6647   | 0.0001 |
| 1.0523        | 80.0  | 78160  | 0.9879          | 0.6674   | 0.5823   | 0.6674   | 0.0001 |
| 1.0437        | 81.0  | 79137  | 0.9858          | 0.6670   | 0.5925   | 0.6670   | 0.0001 |
| 1.0553        | 82.0  | 80114  | 0.9868          | 0.6675   | 0.5928   | 0.6675   | 0.0001 |
| 1.0477        | 83.0  | 81091  | 0.9887          | 0.6656   | 0.5865   | 0.6656   | 0.0001 |
| 1.0489        | 84.0  | 82068  | 0.9865          | 0.6701   | 0.5972   | 0.6701   | 0.0001 |
| 1.0378        | 85.0  | 83045  | 0.9858          | 0.6691   | 0.5932   | 0.6691   | 0.0001 |
| 1.0495        | 86.0  | 84022  | 0.9848          | 0.6687   | 0.5900   | 0.6687   | 0.0001 |
| 1.0323        | 87.0  | 84999  | 0.9842          | 0.6686   | 0.5908   | 0.6686   | 0.0001 |
| 1.0337        | 88.0  | 85976  | 0.9886          | 0.6682   | 0.5853   | 0.6682   | 0.0001 |
| 1.043         | 89.0  | 86953  | 0.9871          | 0.6668   | 0.5868   | 0.6668   | 0.0001 |
| 1.0443        | 90.0  | 87930  | 0.9833          | 0.6677   | 0.5838   | 0.6677   | 0.0001 |
| 1.0418        | 91.0  | 88907  | 0.9833          | 0.6710   | 0.5983   | 0.6710   | 0.0001 |
| 1.0503        | 92.0  | 89884  | 0.9863          | 0.6719   | 0.5904   | 0.6719   | 0.0001 |
| 1.0341        | 93.0  | 90861  | 0.9845          | 0.6701   | 0.5913   | 0.6701   | 0.0001 |
| 1.0428        | 94.0  | 91838  | 0.9834          | 0.6702   | 0.5900   | 0.6702   | 0.0001 |
| 1.0216        | 95.0  | 92815  | 0.9854          | 0.6696   | 0.5900   | 0.6696   | 0.0001 |
| 1.0367        | 96.0  | 93792  | 0.9854          | 0.6712   | 0.5888   | 0.6712   | 0.0001 |
| 1.0198        | 97.0  | 94769  | 0.9830          | 0.6709   | 0.5922   | 0.6709   | 1e-05  |
| 1.0232        | 98.0  | 95746  | 0.9819          | 0.6728   | 0.5942   | 0.6728   | 1e-05  |
| 1.0187        | 99.0  | 96723  | 0.9812          | 0.6729   | 0.5958   | 0.6729   | 1e-05  |
| 1.0152        | 100.0 | 97700  | 0.9811          | 0.6703   | 0.5958   | 0.6703   | 1e-05  |
| 1.0116        | 101.0 | 98677  | 0.9795          | 0.6743   | 0.5970   | 0.6743   | 1e-05  |
| 1.0083        | 102.0 | 99654  | 0.9782          | 0.6736   | 0.5923   | 0.6736   | 1e-05  |
| 1.0046        | 103.0 | 100631 | 0.9786          | 0.6704   | 0.5916   | 0.6704   | 1e-05  |
| 0.9976        | 104.0 | 101608 | 0.9803          | 0.6727   | 0.5977   | 0.6727   | 1e-05  |
| 1.0142        | 105.0 | 102585 | 0.9823          | 0.6704   | 0.5954   | 0.6704   | 1e-05  |
| 1.0203        | 106.0 | 103562 | 0.9786          | 0.6755   | 0.6003   | 0.6755   | 1e-05  |
| 0.997         | 107.0 | 104539 | 0.9784          | 0.6719   | 0.5920   | 0.6719   | 1e-05  |
| 1.0156        | 108.0 | 105516 | 0.9776          | 0.6752   | 0.5974   | 0.6752   | 1e-05  |
| 0.9917        | 109.0 | 106493 | 0.9783          | 0.6720   | 0.5916   | 0.6720   | 1e-05  |
| 1.005         | 110.0 | 107470 | 0.9785          | 0.6704   | 0.5914   | 0.6704   | 1e-05  |
| 1.0112        | 111.0 | 108447 | 0.9781          | 0.6718   | 0.5987   | 0.6718   | 1e-05  |
| 1.0072        | 112.0 | 109424 | 0.9769          | 0.6710   | 0.5923   | 0.6710   | 1e-05  |
| 0.9939        | 113.0 | 110401 | 0.9785          | 0.6724   | 0.5976   | 0.6724   | 1e-05  |
| 1.0092        | 114.0 | 111378 | 0.9780          | 0.6716   | 0.5908   | 0.6716   | 1e-05  |
| 1.0052        | 115.0 | 112355 | 0.9774          | 0.6742   | 0.5972   | 0.6742   | 1e-05  |
| 0.9947        | 116.0 | 113332 | 0.9798          | 0.6726   | 0.5890   | 0.6726   | 1e-05  |
| 1.011         | 117.0 | 114309 | 0.9785          | 0.6727   | 0.5930   | 0.6727   | 1e-05  |
| 0.9985        | 118.0 | 115286 | 0.9778          | 0.6735   | 0.5972   | 0.6735   | 1e-05  |
| 1.008         | 119.0 | 116263 | 0.9776          | 0.6722   | 0.5910   | 0.6722   | 0.0000 |
| 1.0061        | 120.0 | 117240 | 0.9797          | 0.6720   | 0.5945   | 0.6720   | 0.0000 |
| 1.0014        | 121.0 | 118217 | 0.9790          | 0.6732   | 0.5938   | 0.6732   | 0.0000 |
| 0.9879        | 122.0 | 119194 | 0.9772          | 0.6739   | 0.5951   | 0.6739   | 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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