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# test-timm

This model is a fine-tuned version of [timm/mobilenetv3_large_100.miil_in21k](https://huggingface.co/timm/mobilenetv3_large_100.miil_in21k) on the davanstrien/zenodo-presentations-open-labels dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4897
- Accuracy: 0.7913

## 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: 2e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 1337
- optimizer: Use 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: 200.0

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.6794        | 1.0   | 23   | 0.6063   | 0.6560          |
| 0.6215        | 2.0   | 46   | 0.7362   | 0.5833          |
| 0.5784        | 3.0   | 69   | 0.7598   | 0.5490          |
| 0.5347        | 4.0   | 92   | 0.7638   | 0.5306          |
| 0.5307        | 5.0   | 115  | 0.7638   | 0.5235          |
| 0.5391        | 6.0   | 138  | 0.7677   | 0.5090          |
| 0.48          | 7.0   | 161  | 0.7717   | 0.5108          |
| 0.473         | 8.0   | 184  | 0.7756   | 0.5028          |
| 0.5014        | 9.0   | 207  | 0.7717   | 0.5054          |
| 0.496         | 10.0  | 230  | 0.7717   | 0.5040          |
| 0.4688        | 11.0  | 253  | 0.7677   | 0.4972          |
| 0.4943        | 12.0  | 276  | 0.7638   | 0.4977          |
| 0.5012        | 13.0  | 299  | 0.7717   | 0.5057          |
| 0.4639        | 14.0  | 322  | 0.7717   | 0.5010          |
| 0.4709        | 15.0  | 345  | 0.7795   | 0.4949          |
| 0.4888        | 16.0  | 368  | 0.7835   | 0.4955          |
| 0.4594        | 17.0  | 391  | 0.7717   | 0.4986          |
| 0.4745        | 18.0  | 414  | 0.7677   | 0.5011          |
| 0.4667        | 19.0  | 437  | 0.7756   | 0.4928          |
| 0.4551        | 20.0  | 460  | 0.7795   | 0.5055          |
| 0.4657        | 21.0  | 483  | 0.7756   | 0.4928          |
| 0.4818        | 22.0  | 506  | 0.7756   | 0.5002          |
| 0.4633        | 23.0  | 529  | 0.7835   | 0.4946          |
| 0.4779        | 24.0  | 552  | 0.7795   | 0.4942          |
| 0.4718        | 25.0  | 575  | 0.7835   | 0.4963          |
| 0.4511        | 26.0  | 598  | 0.7717   | 0.5011          |
| 0.4798        | 27.0  | 621  | 0.7874   | 0.4904          |
| 0.4868        | 28.0  | 644  | 0.7835   | 0.4982          |
| 0.4653        | 29.0  | 667  | 0.7874   | 0.4988          |
| 0.4613        | 30.0  | 690  | 0.7795   | 0.4985          |
| 0.4675        | 31.0  | 713  | 0.7717   | 0.5060          |
| 0.4587        | 32.0  | 736  | 0.7717   | 0.5059          |
| 0.464         | 33.0  | 759  | 0.7795   | 0.5042          |
| 0.4374        | 34.0  | 782  | 0.7677   | 0.5063          |
| 0.4864        | 35.0  | 805  | 0.7677   | 0.5040          |
| 0.4354        | 36.0  | 828  | 0.7717   | 0.5109          |
| 0.4655        | 37.0  | 851  | 0.7717   | 0.5107          |
| 0.4691        | 38.0  | 874  | 0.7677   | 0.5093          |
| 0.4826        | 39.0  | 897  | 0.7717   | 0.5044          |
| 0.4577        | 40.0  | 920  | 0.7795   | 0.5000          |
| 0.4636        | 41.0  | 943  | 0.7717   | 0.4963          |
| 0.4361        | 42.0  | 966  | 0.7717   | 0.4958          |
| 0.4534        | 43.0  | 989  | 0.7795   | 0.5008          |
| 0.4559        | 44.0  | 1012 | 0.7795   | 0.5025          |
| 0.4189        | 45.0  | 1035 | 0.7756   | 0.5014          |
| 0.4861        | 46.0  | 1058 | 0.7677   | 0.5004          |
| 0.4709        | 47.0  | 1081 | 0.7795   | 0.5005          |
| 0.4726        | 48.0  | 1104 | 0.7717   | 0.5008          |
| 0.4441        | 49.0  | 1127 | 0.7756   | 0.4988          |
| 0.4579        | 50.0  | 1150 | 0.7756   | 0.5000          |
| 0.4366        | 51.0  | 1173 | 0.4980   | 0.7756          |
| 0.4467        | 52.0  | 1196 | 0.4947   | 0.7795          |
| 0.4797        | 53.0  | 1219 | 0.4950   | 0.7756          |
| 0.4544        | 54.0  | 1242 | 0.4998   | 0.7717          |
| 0.4466        | 55.0  | 1265 | 0.4980   | 0.7795          |
| 0.4599        | 56.0  | 1288 | 0.4963   | 0.7835          |
| 0.4458        | 57.0  | 1311 | 0.4956   | 0.7874          |
| 0.4296        | 58.0  | 1334 | 0.4994   | 0.7874          |
| 0.4415        | 59.0  | 1357 | 0.4998   | 0.7835          |
| 0.4036        | 60.0  | 1380 | 0.4996   | 0.7795          |
| 0.4406        | 61.0  | 1403 | 0.5022   | 0.7913          |
| 0.4235        | 62.0  | 1426 | 0.5018   | 0.7913          |
| 0.4492        | 63.0  | 1449 | 0.4964   | 0.8031          |
| 0.4065        | 64.0  | 1472 | 0.4953   | 0.7874          |
| 0.4474        | 65.0  | 1495 | 0.4897   | 0.7913          |
| 0.4605        | 66.0  | 1518 | 0.5039   | 0.7795          |
| 0.436         | 67.0  | 1541 | 0.5024   | 0.7756          |
| 0.4746        | 68.0  | 1564 | 0.5007   | 0.7874          |
| 0.4555        | 69.0  | 1587 | 0.5054   | 0.7874          |
| 0.433         | 70.0  | 1610 | 0.4974   | 0.7874          |
| 0.4503        | 71.0  | 1633 | 0.5096   | 0.7795          |
| 0.4424        | 72.0  | 1656 | 0.5040   | 0.7756          |
| 0.4331        | 73.0  | 1679 | 0.5056   | 0.7913          |
| 0.4263        | 74.0  | 1702 | 0.5026   | 0.7874          |
| 0.4305        | 75.0  | 1725 | 0.5033   | 0.7835          |
| 0.4271        | 76.0  | 1748 | 0.5015   | 0.7874          |
| 0.4635        | 77.0  | 1771 | 0.4988   | 0.7913          |
| 0.4212        | 78.0  | 1794 | 0.4994   | 0.7913          |
| 0.4154        | 79.0  | 1817 | 0.5044   | 0.7874          |
| 0.4288        | 80.0  | 1840 | 0.5033   | 0.7913          |
| 0.4211        | 81.0  | 1863 | 0.5050   | 0.7835          |
| 0.4022        | 82.0  | 1886 | 0.5021   | 0.7835          |
| 0.4477        | 83.0  | 1909 | 0.5096   | 0.7756          |
| 0.4091        | 84.0  | 1932 | 0.5017   | 0.7913          |
| 0.4284        | 85.0  | 1955 | 0.5094   | 0.7795          |
| 0.4317        | 86.0  | 1978 | 0.5056   | 0.7874          |
| 0.4011        | 87.0  | 2001 | 0.4992   | 0.7953          |
| 0.4043        | 88.0  | 2024 | 0.5106   | 0.7874          |
| 0.4233        | 89.0  | 2047 | 0.5083   | 0.7835          |
| 0.4383        | 90.0  | 2070 | 0.5016   | 0.7913          |
| 0.4328        | 91.0  | 2093 | 0.5062   | 0.7874          |
| 0.3978        | 92.0  | 2116 | 0.5026   | 0.7874          |
| 0.4052        | 93.0  | 2139 | 0.4964   | 0.7913          |
| 0.3938        | 94.0  | 2162 | 0.5036   | 0.7874          |
| 0.393         | 95.0  | 2185 | 0.5102   | 0.7835          |
| 0.4294        | 96.0  | 2208 | 0.5003   | 0.7874          |
| 0.4122        | 97.0  | 2231 | 0.5013   | 0.7913          |
| 0.4207        | 98.0  | 2254 | 0.5076   | 0.7874          |
| 0.4127        | 99.0  | 2277 | 0.5040   | 0.7835          |
| 0.441         | 100.0 | 2300 | 0.5022   | 0.7835          |
| 0.3938        | 101.0 | 2323 | 0.4975   | 0.7992          |
| 0.4109        | 102.0 | 2346 | 0.5019   | 0.7913          |
| 0.4299        | 103.0 | 2369 | 0.5060   | 0.7874          |
| 0.4148        | 104.0 | 2392 | 0.5038   | 0.7874          |
| 0.4179        | 105.0 | 2415 | 0.5064   | 0.7835          |
| 0.4352        | 106.0 | 2438 | 0.5059   | 0.7874          |
| 0.4027        | 107.0 | 2461 | 0.5025   | 0.7953          |
| 0.4002        | 108.0 | 2484 | 0.5020   | 0.7874          |
| 0.3988        | 109.0 | 2507 | 0.5063   | 0.7874          |
| 0.4095        | 110.0 | 2530 | 0.5034   | 0.7913          |
| 0.4001        | 111.0 | 2553 | 0.5054   | 0.7874          |
| 0.4201        | 112.0 | 2576 | 0.5076   | 0.7992          |
| 0.4134        | 113.0 | 2599 | 0.5070   | 0.7953          |
| 0.3614        | 114.0 | 2622 | 0.5033   | 0.7835          |
| 0.3928        | 115.0 | 2645 | 0.5043   | 0.7874          |
| 0.435         | 116.0 | 2668 | 0.4999   | 0.7874          |
| 0.4162        | 117.0 | 2691 | 0.5132   | 0.7874          |
| 0.4078        | 118.0 | 2714 | 0.5088   | 0.7795          |
| 0.4025        | 119.0 | 2737 | 0.5075   | 0.7835          |
| 0.4096        | 120.0 | 2760 | 0.5023   | 0.7835          |
| 0.3879        | 121.0 | 2783 | 0.5063   | 0.7835          |
| 0.4033        | 122.0 | 2806 | 0.5001   | 0.7874          |
| 0.3927        | 123.0 | 2829 | 0.5087   | 0.7795          |
| 0.3803        | 124.0 | 2852 | 0.5150   | 0.7913          |
| 0.4248        | 125.0 | 2875 | 0.5150   | 0.7835          |
| 0.3874        | 126.0 | 2898 | 0.5158   | 0.7874          |
| 0.3646        | 127.0 | 2921 | 0.4980   | 0.8031          |
| 0.4115        | 128.0 | 2944 | 0.5077   | 0.7913          |
| 0.385         | 129.0 | 2967 | 0.5153   | 0.7913          |
| 0.4064        | 130.0 | 2990 | 0.5114   | 0.7953          |
| 0.4168        | 131.0 | 3013 | 0.5057   | 0.7992          |
| 0.4319        | 132.0 | 3036 | 0.5041   | 0.7953          |
| 0.4234        | 133.0 | 3059 | 0.5119   | 0.7992          |
| 0.3721        | 134.0 | 3082 | 0.5118   | 0.7874          |
| 0.3709        | 135.0 | 3105 | 0.5078   | 0.7913          |
| 0.4149        | 136.0 | 3128 | 0.5164   | 0.7795          |
| 0.416         | 137.0 | 3151 | 0.5123   | 0.7835          |
| 0.406         | 138.0 | 3174 | 0.5116   | 0.7913          |
| 0.3613        | 139.0 | 3197 | 0.5170   | 0.7913          |
| 0.3786        | 140.0 | 3220 | 0.5099   | 0.8031          |
| 0.3976        | 141.0 | 3243 | 0.5111   | 0.7913          |
| 0.371         | 142.0 | 3266 | 0.5081   | 0.7953          |
| 0.4056        | 143.0 | 3289 | 0.5098   | 0.7913          |
| 0.4214        | 144.0 | 3312 | 0.5085   | 0.7953          |
| 0.3832        | 145.0 | 3335 | 0.5084   | 0.7953          |
| 0.3762        | 146.0 | 3358 | 0.5061   | 0.7913          |
| 0.4118        | 147.0 | 3381 | 0.5111   | 0.7992          |
| 0.3866        | 148.0 | 3404 | 0.5092   | 0.8071          |
| 0.3869        | 149.0 | 3427 | 0.5122   | 0.7953          |
| 0.3734        | 150.0 | 3450 | 0.5117   | 0.7953          |
| 0.4061        | 151.0 | 3473 | 0.5095   | 0.7913          |
| 0.3705        | 152.0 | 3496 | 0.5171   | 0.7953          |
| 0.3873        | 153.0 | 3519 | 0.5179   | 0.7953          |
| 0.3927        | 154.0 | 3542 | 0.5117   | 0.7992          |
| 0.3807        | 155.0 | 3565 | 0.5133   | 0.7953          |
| 0.3761        | 156.0 | 3588 | 0.5140   | 0.7913          |
| 0.3964        | 157.0 | 3611 | 0.5118   | 0.7953          |
| 0.39          | 158.0 | 3634 | 0.5122   | 0.8031          |
| 0.3943        | 159.0 | 3657 | 0.5126   | 0.8031          |
| 0.3417        | 160.0 | 3680 | 0.5097   | 0.7992          |
| 0.3996        | 161.0 | 3703 | 0.5048   | 0.7913          |
| 0.4           | 162.0 | 3726 | 0.5148   | 0.7953          |
| 0.4051        | 163.0 | 3749 | 0.5150   | 0.7874          |
| 0.3973        | 164.0 | 3772 | 0.5037   | 0.8031          |
| 0.3963        | 165.0 | 3795 | 0.5048   | 0.7953          |
| 0.3568        | 166.0 | 3818 | 0.5168   | 0.7913          |
| 0.3995        | 167.0 | 3841 | 0.5096   | 0.7913          |
| 0.3628        | 168.0 | 3864 | 0.5102   | 0.7953          |
| 0.3836        | 169.0 | 3887 | 0.5133   | 0.7953          |
| 0.3646        | 170.0 | 3910 | 0.5099   | 0.8031          |
| 0.3789        | 171.0 | 3933 | 0.5151   | 0.7874          |
| 0.3832        | 172.0 | 3956 | 0.5149   | 0.8031          |
| 0.3476        | 173.0 | 3979 | 0.5178   | 0.7835          |
| 0.3806        | 174.0 | 4002 | 0.5081   | 0.7992          |
| 0.4053        | 175.0 | 4025 | 0.5100   | 0.7874          |
| 0.3986        | 176.0 | 4048 | 0.5189   | 0.7992          |
| 0.3827        | 177.0 | 4071 | 0.5129   | 0.7992          |
| 0.3892        | 178.0 | 4094 | 0.5099   | 0.7874          |
| 0.3955        | 179.0 | 4117 | 0.5212   | 0.7992          |
| 0.4077        | 180.0 | 4140 | 0.5102   | 0.7953          |
| 0.3579        | 181.0 | 4163 | 0.5100   | 0.7953          |
| 0.3666        | 182.0 | 4186 | 0.5248   | 0.7835          |
| 0.3746        | 183.0 | 4209 | 0.5220   | 0.7874          |
| 0.3867        | 184.0 | 4232 | 0.5173   | 0.7913          |
| 0.4024        | 185.0 | 4255 | 0.5248   | 0.7874          |
| 0.4014        | 186.0 | 4278 | 0.5085   | 0.7913          |
| 0.3445        | 187.0 | 4301 | 0.5137   | 0.8031          |
| 0.382         | 188.0 | 4324 | 0.5213   | 0.7913          |
| 0.3673        | 189.0 | 4347 | 0.5242   | 0.7913          |
| 0.3631        | 190.0 | 4370 | 0.5146   | 0.7913          |
| 0.393         | 191.0 | 4393 | 0.5098   | 0.7835          |
| 0.3806        | 192.0 | 4416 | 0.5134   | 0.7992          |
| 0.3789        | 193.0 | 4439 | 0.5127   | 0.7992          |
| 0.3717        | 194.0 | 4462 | 0.5184   | 0.7913          |
| 0.361         | 195.0 | 4485 | 0.5186   | 0.7835          |
| 0.3722        | 196.0 | 4508 | 0.5107   | 0.7953          |
| 0.3551        | 197.0 | 4531 | 0.5175   | 0.7953          |
| 0.3649        | 198.0 | 4554 | 0.5136   | 0.7992          |
| 0.3749        | 199.0 | 4577 | 0.5193   | 0.7913          |
| 0.3782        | 200.0 | 4600 | 0.5182   | 0.7992          |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1

false true