readme: ---
  license: apache-2.0
  tags:
  - masked-auto-encoding
  - generated_from_trainer
  datasets:
  - image_folder
  model-index:
  - name: test_mae_flysheet
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # test_mae_flysheet
  
  This model is a fine-tuned version of [facebook/vit-mae-base](https://huggingface.co/facebook/vit-mae-base) on the davanstrien/flysheet dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2675
  
  ## 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: 3.75e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 1337
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.05
  - num_epochs: 100.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.284         | 1.0   | 28   | 2.2812          |
  | 2.137         | 2.0   | 56   | 2.0288          |
  | 1.6016        | 3.0   | 84   | 1.2437          |
  | 0.8055        | 4.0   | 112  | 0.7419          |
  | 0.5304        | 5.0   | 140  | 0.5151          |
  | 0.4873        | 6.0   | 168  | 0.4884          |
  | 0.442         | 7.0   | 196  | 0.4441          |
  | 0.4039        | 8.0   | 224  | 0.4159          |
  | 0.3866        | 9.0   | 252  | 0.3975          |
  | 0.391         | 10.0  | 280  | 0.3869          |
  | 0.3549        | 11.0  | 308  | 0.3801          |
  | 0.3462        | 12.0  | 336  | 0.3577          |
  | 0.3402        | 13.0  | 364  | 0.3519          |
  | 0.3357        | 14.0  | 392  | 0.3447          |
  | 0.3474        | 15.0  | 420  | 0.3369          |
  | 0.3254        | 16.0  | 448  | 0.3386          |
  | 0.3033        | 17.0  | 476  | 0.3294          |
  | 0.3047        | 18.0  | 504  | 0.3274          |
  | 0.3103        | 19.0  | 532  | 0.3209          |
  | 0.3067        | 20.0  | 560  | 0.3186          |
  | 0.2959        | 21.0  | 588  | 0.3190          |
  | 0.2899        | 22.0  | 616  | 0.3147          |
  | 0.2872        | 23.0  | 644  | 0.3082          |
  | 0.2956        | 24.0  | 672  | 0.3070          |
  | 0.2865        | 25.0  | 700  | 0.3072          |
  | 0.2947        | 26.0  | 728  | 0.3072          |
  | 0.2811        | 27.0  | 756  | 0.3131          |
  | 0.2935        | 28.0  | 784  | 0.3069          |
  | 0.2814        | 29.0  | 812  | 0.3043          |
  | 0.2753        | 30.0  | 840  | 0.2984          |
  | 0.2823        | 31.0  | 868  | 0.2995          |
  | 0.2962        | 32.0  | 896  | 0.3012          |
  | 0.2869        | 33.0  | 924  | 0.3050          |
  | 0.2833        | 34.0  | 952  | 0.2960          |
  | 0.2892        | 35.0  | 980  | 0.3039          |
  | 0.2764        | 36.0  | 1008 | 0.3010          |
  | 0.2807        | 37.0  | 1036 | 0.2998          |
  | 0.2843        | 38.0  | 1064 | 0.2989          |
  | 0.2808        | 39.0  | 1092 | 0.2970          |
  | 0.2862        | 40.0  | 1120 | 0.2940          |
  | 0.2601        | 41.0  | 1148 | 0.2952          |
  | 0.2742        | 42.0  | 1176 | 0.2940          |
  | 0.2791        | 43.0  | 1204 | 0.2997          |
  | 0.2759        | 44.0  | 1232 | 0.2951          |
  | 0.2819        | 45.0  | 1260 | 0.2896          |
  | 0.287         | 46.0  | 1288 | 0.2938          |
  | 0.2711        | 47.0  | 1316 | 0.2973          |
  | 0.2782        | 48.0  | 1344 | 0.2946          |
  | 0.2674        | 49.0  | 1372 | 0.2913          |
  | 0.268         | 50.0  | 1400 | 0.2944          |
  | 0.2624        | 51.0  | 1428 | 0.2940          |
  | 0.2842        | 52.0  | 1456 | 0.2978          |
  | 0.2753        | 53.0  | 1484 | 0.2951          |
  | 0.2733        | 54.0  | 1512 | 0.2880          |
  | 0.2782        | 55.0  | 1540 | 0.2969          |
  | 0.2789        | 56.0  | 1568 | 0.2919          |
  | 0.2815        | 57.0  | 1596 | 0.2916          |
  | 0.2629        | 58.0  | 1624 | 0.2947          |
  | 0.2716        | 59.0  | 1652 | 0.2828          |
  | 0.2623        | 60.0  | 1680 | 0.2924          |
  | 0.2773        | 61.0  | 1708 | 0.2765          |
  | 0.268         | 62.0  | 1736 | 0.2754          |
  | 0.2839        | 63.0  | 1764 | 0.2744          |
  | 0.2684        | 64.0  | 1792 | 0.2744          |
  | 0.2865        | 65.0  | 1820 | 0.2716          |
  | 0.2845        | 66.0  | 1848 | 0.2769          |
  | 0.2663        | 67.0  | 1876 | 0.2754          |
  | 0.269         | 68.0  | 1904 | 0.2737          |
  | 0.2681        | 69.0  | 1932 | 0.2697          |
  | 0.2748        | 70.0  | 1960 | 0.2779          |
  | 0.2769        | 71.0  | 1988 | 0.2728          |
  | 0.2805        | 72.0  | 2016 | 0.2729          |
  | 0.2771        | 73.0  | 2044 | 0.2728          |
  | 0.2717        | 74.0  | 20