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# swin-tiny-patch4-window7-224-seg-swin-amal-finetuned-eurosat

This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6236
- Accuracy: 0.4528

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.1452        | 1.0   | 268   | 2.2034          | 0.2247   |
| 0.9905        | 2.0   | 536   | 0.9729          | 0.7126   |
| 0.5262        | 3.0   | 804   | 0.5282          | 0.8314   |
| 0.36          | 4.0   | 1072  | 0.5618          | 0.8337   |
| 0.305         | 5.0   | 1340  | 0.9210          | 0.6535   |
| 0.2669        | 6.0   | 1608  | 1.1776          | 0.6317   |
| 0.2663        | 7.0   | 1876  | 1.2129          | 0.6290   |
| 0.2207        | 8.0   | 2144  | 2.2039          | 0.4068   |
| 0.2178        | 9.0   | 2412  | 1.9747          | 0.4740   |
| 0.1822        | 10.0  | 2680  | 1.4390          | 0.5526   |
| 0.1691        | 11.0  | 2948  | 2.1020          | 0.3814   |
| 0.1731        | 12.0  | 3216  | 2.0999          | 0.4251   |
| 0.1705        | 13.0  | 3484  | 2.4643          | 0.3700   |
| 0.1286        | 14.0  | 3752  | 2.7902          | 0.4345   |
| 0.1511        | 15.0  | 4020  | 2.5151          | 0.4165   |
| 0.1403        | 16.0  | 4288  | 4.4323          | 0.3099   |
| 0.1562        | 17.0  | 4556  | 2.0293          | 0.5096   |
| 0.1233        | 18.0  | 4824  | 2.5863          | 0.4236   |
| 0.1293        | 19.0  | 5092  | 2.6533          | 0.4506   |
| 0.1268        | 20.0  | 5360  | 2.1429          | 0.4998   |
| 0.1464        | 21.0  | 5628  | 2.3014          | 0.5470   |
| 0.1507        | 22.0  | 5896  | 2.3857          | 0.4911   |
| 0.1285        | 23.0  | 6164  | 1.4228          | 0.6406   |
| 0.1364        | 24.0  | 6432  | 3.6147          | 0.4842   |
| 0.1209        | 25.0  | 6700  | 2.4210          | 0.4896   |
| 0.1321        | 26.0  | 6968  | 2.7809          | 0.5344   |
| 0.0944        | 27.0  | 7236  | 3.5598          | 0.4226   |
| 0.1013        | 28.0  | 7504  | 4.0793          | 0.3905   |
| 0.1243        | 29.0  | 7772  | 4.5733          | 0.3443   |
| 0.0962        | 30.0  | 8040  | 2.9494          | 0.4199   |
| 0.0974        | 31.0  | 8308  | 3.1012          | 0.4496   |
| 0.113         | 32.0  | 8576  | 3.9522          | 0.3764   |
| 0.1067        | 33.0  | 8844  | 1.9792          | 0.6053   |
| 0.095         | 34.0  | 9112  | 2.8795          | 0.5302   |
| 0.1015        | 35.0  | 9380  | 5.9943          | 0.2941   |
| 0.0912        | 36.0  | 9648  | 2.9536          | 0.5242   |
| 0.1193        | 37.0  | 9916  | 3.5187          | 0.4226   |
| 0.0906        | 38.0  | 10184 | 3.0049          | 0.5114   |
| 0.1109        | 39.0  | 10452 | 2.6823          | 0.5675   |
| 0.0903        | 40.0  | 10720 | 4.7151          | 0.3109   |
| 0.0846        | 41.0  | 10988 | 3.1118          | 0.3880   |
| 0.0986        | 42.0  | 11256 | 3.9827          | 0.4792   |
| 0.1244        | 43.0  | 11524 | 4.7544          | 0.2860   |
| 0.1039        | 44.0  | 11792 | 4.4297          | 0.3178   |
| 0.077         | 45.0  | 12060 | 5.8973          | 0.3524   |
| 0.0718        | 46.0  | 12328 | 6.0338          | 0.3033   |
| 0.0838        | 47.0  | 12596 | 6.3524          | 0.3507   |
| 0.0935        | 48.0  | 12864 | 3.8675          | 0.4194   |
| 0.0922        | 49.0  | 13132 | 4.7731          | 0.3129   |
| 0.0903        | 50.0  | 13400 | 3.5435          | 0.4115   |
| 0.0927        | 51.0  | 13668 | 4.7606          | 0.4234   |
| 0.0757        | 52.0  | 13936 | 3.4110          | 0.4436   |
| 0.0738        | 53.0  | 14204 | 6.3143          | 0.3648   |
| 0.076         | 54.0  | 14472 | 4.9524          | 0.3604   |
| 0.0951        | 55.0  | 14740 | 5.5633          | 0.3680   |
| 0.1078        | 56.0  | 15008 | 5.9219          | 0.3082   |
| 0.0991        | 57.0  | 15276 | 4.9457          | 0.3344   |
| 0.0968        | 58.0  | 15544 | 4.0270          | 0.4271   |
| 0.0883        | 59.0  | 15812 | 5.3006          | 0.3574   |
| 0.0728        | 60.0  | 16080 | 6.9527          | 0.3119   |
| 0.0803        | 61.0  | 16348 | 2.9117          | 0.5      |
| 0.1022        | 62.0  | 16616 | 5.1631          | 0.3487   |
| 0.1155        | 63.0  | 16884 | 5.2602          | 0.3453   |
| 0.0737        | 64.0  | 17152 | 6.5281          | 0.3129   |
| 0.0735        | 65.0  | 17420 | 4.9847          | 0.3945   |
| 0.0948        | 66.0  | 17688 | 3.6684          | 0.4330   |
| 0.0765        | 67.0  | 17956 | 4.2188          | 0.4076   |
| 0.0597        | 68.0  | 18224 | 3.0067          | 0.5208   |
| 0.0866        | 69.0  | 18492 | 3.8993          | 0.4412   |
| 0.0825        | 70.0  | 18760 | 3.9058          | 0.3945   |
| 0.0897        | 71.0  | 19028 | 4.5870          | 0.3932   |
| 0.0687        | 72.0  | 19296 | 4.2837          | 0.3744   |
| 0.0774        | 73.0  | 19564 | 4.9028          | 0.3596   |
| 0.0755        | 74.0  | 19832 | 5.1321          | 0.3356   |
| 0.0728        | 75.0  | 20100 | 4.5533          | 0.3851   |
| 0.0753        | 76.0  | 20368 | 4.9765          | 0.3898   |
| 0.0582        | 77.0  | 20636 | 5.1959          | 0.3777   |
| 0.0714        | 78.0  | 20904 | 4.6735          | 0.3707   |
| 0.0928        | 79.0  | 21172 | 3.6359          | 0.4639   |
| 0.0593        | 80.0  | 21440 | 5.1507          | 0.3841   |
| 0.0972        | 81.0  | 21708 | 5.3122          | 0.3356   |
| 0.0903        | 82.0  | 21976 | 3.5833          | 0.4310   |
| 0.074         | 83.0  | 22244 | 2.3014          | 0.6349   |
| 0.0651        | 84.0  | 22512 | 3.8229          | 0.4387   |
| 0.0682        | 85.0  | 22780 | 3.5292          | 0.4627   |
| 0.0543        | 86.0  | 23048 | 4.0542          | 0.4266   |
| 0.0776        | 87.0  | 23316 | 3.8799          | 0.5240   |
| 0.0868        | 88.0  | 23584 | 4.1896          | 0.4750   |
| 0.0711        | 89.0  | 23852 | 3.1013          | 0.5381   |
| 0.077         | 90.0  | 24120 | 2.9132          | 0.5650   |
| 0.0672        | 91.0  | 24388 | 4.4834          | 0.3806   |
| 0.0737        | 92.0  | 24656 | 4.0161          | 0.5116   |
| 0.0868        | 93.0  | 24924 | 2.9386          | 0.4956   |
| 0.0778        | 94.0  | 25192 | 4.4806          | 0.4478   |
| 0.0586        | 95.0  | 25460 | 5.0668          | 0.4313   |
| 0.0713        | 96.0  | 25728 | 6.4632          | 0.3043   |
| 0.0897        | 97.0  | 25996 | 5.0227          | 0.4674   |
| 0.073         | 98.0  | 26264 | 3.6177          | 0.4854   |
| 0.0775        | 99.0  | 26532 | 5.5003          | 0.3702   |
| 0.0709        | 100.0 | 26800 | 5.6101          | 0.3863   |
| 0.078         | 101.0 | 27068 | 4.3187          | 0.4338   |
| 0.0702        | 102.0 | 27336 | 4.8467          | 0.4545   |
| 0.0498        | 103.0 | 27604 | 3.9094          | 0.4511   |
| 0.0785        | 104.0 | 27872 | 4.0952          | 0.3836   |
| 0.0767        | 105.0 | 28140 | 3.2816          | 0.4909   |
| 0.0611        | 106.0 | 28408 | 5.2239          | 0.4221   |
| 0.0753        | 107.0 | 28676 | 4.2586          | 0.4493   |
| 0.0758        | 108.0 | 28944 | 3.6094          | 0.4938   |
| 0.0951        | 109.0 | 29212 | 6.1982          | 0.3453   |
| 0.086         | 110.0 | 29480 | 6.4891          | 0.3191   |
| 0.0701        | 111.0 | 29748 | 5.8145          | 0.3235   |
| 0.0772        | 112.0 | 30016 | 3.7809          | 0.5133   |
| 0.0705        | 113.0 | 30284 | 4.9590          | 0.4372   |
| 0.0602        | 114.0 | 30552 | 5.5669          | 0.3959   |
| 0.0671        | 115.0 | 30820 | 4.4897          | 0.4429   |
| 0.0692        | 116.0 | 31088 | 5.1358          | 0.3319   |
| 0.0675        | 117.0 | 31356 | 5.0169          | 0.4226   |
| 0.0626        | 118.0 | 31624 | 5.6420          | 0.4170   |
| 0.0537        | 119.0 | 31892 | 5.1601          | 0.3683   |
| 0.0543        | 120.0 | 32160 | 5.4460          | 0.3663   |
| 0.0601        | 121.0 | 32428 | 7.2877          | 0.2981   |
| 0.0743        | 122.0 | 32696 | 6.5134          | 0.3337   |
| 0.0558        | 123.0 | 32964 | 4.4690          | 0.4469   |
| 0.0396        | 124.0 | 33232 | 4.4964          | 0.4212   |
| 0.0704        | 125.0 | 33500 | 4.5766          | 0.4011   |
| 0.0547        | 126.0 | 33768 | 4.0679          | 0.4538   |
| 0.0643        | 127.0 | 34036 | 3.3335          | 0.4545   |
| 0.0709        | 128.0 | 34304 | 3.6568          | 0.4750   |
| 0.0932        | 129.0 | 34572 | 4.7978          | 0.4614   |
| 0.0522        | 130.0 | 34840 | 6.1548          | 0.3366   |
| 0.0592        | 131.0 | 35108 | 5.0728          | 0.4409   |
| 0.0528        | 132.0 | 35376 | 5.5127          | 0.4088   |
| 0.087         | 133.0 | 35644 | 4.5838          | 0.3900   |
| 0.0566        | 134.0 | 35912 | 4.8733          | 0.3683   |
| 0.0474        | 135.0 | 36180 | 3.4370          | 0.4348   |
| 0.0517        | 136.0 | 36448 | 4.5547          | 0.3908   |
| 0.0627        | 137.0 | 36716 | 4.7011          | 0.4048   |
| 0.0693        | 138.0 | 36984 | 4.8039          | 0.4419   |
| 0.0753        | 139.0 | 37252 | 4.6905          | 0.4674   |
| 0.0542        | 140.0 | 37520 | 4.4103          | 0.4278   |
| 0.0629        | 141.0 | 37788 | 4.5332          | 0.4402   |
| 0.0636        | 142.0 | 38056 | 4.4822          | 0.4288   |
| 0.0551        | 143.0 | 38324 | 5.3970          | 0.3885   |
| 0.0677        | 144.0 | 38592 | 4.9337          | 0.3811   |
| 0.037         | 145.0 | 38860 | 4.7588          | 0.3979   |
| 0.0426        | 146.0 | 39128 | 4.5055          | 0.4110   |
| 0.0624        | 147.0 | 39396 | 4.9575          | 0.3722   |
| 0.0799        | 148.0 | 39664 | 3.9235          | 0.4350   |
| 0.0643        | 149.0 | 39932 | 3.2063          | 0.5297   |
| 0.0687        | 150.0 | 40200 | 3.1733          | 0.5692   |
| 0.0652        | 151.0 | 40468 | 3.8738          | 0.5178   |
| 0.078         | 152.0 | 40736 | 2.7892          | 0.5319   |
| 0.0644        | 153.0 | 41004 | 3.4909          | 0.5185   |
| 0.0639        | 154.0 | 41272 | 3.7233          | 0.5005   |
| 0.0517        | 155.0 | 41540 | 4.9475          | 0.4152   |
| 0.0546        | 156.0 | 41808 | 5.0784          | 0.4251   |
| 0.0704        | 157.0 | 42076 | 5.3511          | 0.3987   |
| 0.0753        | 158.0 | 42344 | 5.0345          | 0.4538   |
| 0.0504        | 159.0 | 42612 | 4.1655          | 0.4701   |
| 0.0645        | 160.0 | 42880 | 3.9242          | 0.4936   |
| 0.0543        | 161.0 | 43148 | 4.8499          | 0.4533   |
| 0.0592        | 162.0 | 43416 | 5.1871          | 0.4345   |
| 0.0716        | 163.0 | 43684 | 5.4487          | 0.4325   |
| 0.0613        | 164.0 | 43952 | 4.3626          | 0.4711   |
| 0.0616        | 165.0 | 44220 | 4.8649          | 0.4807   |
| 0.0506        | 166.0 | 44488 | 4.1038          | 0.5133   |
| 0.0802        | 167.0 | 44756 | 5.0038          | 0.4889   |
| 0.0672        | 168.0 | 45024 | 6.3643          | 0.4009   |
| 0.0562        | 169.0 | 45292 | 6.1359          | 0.4372   |
| 0.0367        | 170.0 | 45560 | 5.6726          | 0.4340   |
| 0.0687        | 171.0 | 45828 | 5.2015          | 0.4254   |
| 0.061         | 172.0 | 46096 | 5.0398          | 0.4491   |
| 0.0444        | 173.0 | 46364 | 5.8819          | 0.4414   |
| 0.0685        | 174.0 | 46632 | 6.0729          | 0.4263   |
| 0.0548        | 175.0 | 46900 | 5.6388          | 0.4298   |
| 0.084         | 176.0 | 47168 | 6.3042          | 0.4090   |
| 0.0575        | 177.0 | 47436 | 6.3381          | 0.4019   |
| 0.0678        | 178.0 | 47704 | 6.3679          | 0.4100   |
| 0.0445        | 179.0 | 47972 | 6.3634          | 0.4152   |
| 0.081         | 180.0 | 48240 | 6.4057          | 0.4051   |
| 0.0643        | 181.0 | 48508 | 6.6593          | 0.3648   |
| 0.0497        | 182.0 | 48776 | 6.7469          | 0.3799   |
| 0.0568        | 183.0 | 49044 | 5.9056          | 0.4221   |
| 0.0513        | 184.0 | 49312 | 6.4656          | 0.4046   |
| 0.0496        | 185.0 | 49580 | 6.1444          | 0.4140   |
| 0.0524        | 186.0 | 49848 | 5.9295          | 0.4357   |
| 0.0746        | 187.0 | 50116 | 5.6245          | 0.4612   |
| 0.0489        | 188.0 | 50384 | 5.6278          | 0.4476   |
| 0.0589        | 189.0 | 50652 | 5.6629          | 0.4595   |
| 0.0365        | 190.0 | 50920 | 5.9882          | 0.4392   |
| 0.0456        | 191.0 | 51188 | 6.0186          | 0.4496   |
| 0.0486        | 192.0 | 51456 | 5.6916          | 0.4427   |
| 0.0658        | 193.0 | 51724 | 5.7638          | 0.4461   |
| 0.0599        | 194.0 | 51992 | 5.7886          | 0.4387   |
| 0.0522        | 195.0 | 52260 | 5.7112          | 0.4464   |
| 0.0556        | 196.0 | 52528 | 5.7411          | 0.4419   |
| 0.0681        | 197.0 | 52796 | 5.6449          | 0.4516   |
| 0.0649        | 198.0 | 53064 | 5.6714          | 0.4508   |
| 0.0582        | 199.0 | 53332 | 5.6241          | 0.4521   |
| 0.0727        | 200.0 | 53600 | 5.6236          | 0.4528   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.1+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1

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