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swiftformer-xs-DMAE

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Files changed (10) hide show
  1. README.md +38 -38
  2. all_results.json +9 -9
  3. eval_results.json +5 -5
  4. model.safetensors +1 -1
  5. runs/Dec02_09-45-57_DESKTOP-SKBE9FB/events.out.tfevents.1733154358.DESKTOP-SKBE9FB.18200.0 +3 -0
  6. runs/Dec02_09-47-15_DESKTOP-SKBE9FB/events.out.tfevents.1733154436.DESKTOP-SKBE9FB.12904.0 +3 -0
  7. runs/Dec02_09-47-15_DESKTOP-SKBE9FB/events.out.tfevents.1733154584.DESKTOP-SKBE9FB.12904.1 +3 -0
  8. train_results.json +4 -4
  9. trainer_state.json +193 -193
  10. training_args.bin +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
- value: 0.10869565217391304
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 113.8184
35
- - Accuracy: 0.1087
36
 
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  ## Model description
38
 
@@ -66,41 +66,41 @@ The following hyperparameters were used during training:
66
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.86 | 3 | 113.8184 | 0.1087 |
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- | No log | 2.0 | 7 | 113.8094 | 0.1087 |
71
- | 114.0867 | 2.86 | 10 | 113.7944 | 0.1087 |
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- | 114.0867 | 4.0 | 14 | 113.7881 | 0.1087 |
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- | 114.0867 | 4.86 | 17 | 113.7100 | 0.1087 |
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- | 113.3425 | 6.0 | 21 | 113.5884 | 0.1087 |
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- | 113.3425 | 6.86 | 24 | 113.4998 | 0.1087 |
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- | 113.3425 | 8.0 | 28 | 113.0578 | 0.1087 |
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- | 111.228 | 8.86 | 31 | 112.8053 | 0.1087 |
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- | 111.228 | 10.0 | 35 | 112.5202 | 0.1087 |
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- | 111.228 | 10.86 | 38 | 112.5811 | 0.1087 |
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- | 114.9647 | 12.0 | 42 | 112.6090 | 0.1087 |
81
- | 114.9647 | 12.86 | 45 | 112.4973 | 0.1087 |
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- | 114.9647 | 14.0 | 49 | 111.9761 | 0.1087 |
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- | 110.7738 | 14.86 | 52 | 111.8117 | 0.1087 |
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- | 110.7738 | 16.0 | 56 | 111.6589 | 0.1087 |
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- | 110.7738 | 16.86 | 59 | 111.5367 | 0.1087 |
86
- | 111.0505 | 18.0 | 63 | 111.7016 | 0.1087 |
87
- | 111.0505 | 18.86 | 66 | 111.9068 | 0.1087 |
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- | 111.4545 | 20.0 | 70 | 111.6203 | 0.1087 |
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- | 111.4545 | 20.86 | 73 | 111.1266 | 0.1087 |
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- | 111.4545 | 22.0 | 77 | 110.2879 | 0.1087 |
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- | 111.2779 | 22.86 | 80 | 109.8523 | 0.1087 |
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- | 111.2779 | 24.0 | 84 | 109.5283 | 0.1087 |
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- | 111.2779 | 24.86 | 87 | 109.9590 | 0.1087 |
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- | 110.5166 | 26.0 | 91 | 109.9752 | 0.1087 |
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- | 110.5166 | 26.86 | 94 | 109.5435 | 0.1087 |
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- | 110.5166 | 28.0 | 98 | 109.5712 | 0.1087 |
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- | 108.66 | 28.86 | 101 | 108.8924 | 0.1087 |
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- | 108.66 | 30.0 | 105 | 108.3990 | 0.1087 |
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- | 108.66 | 30.86 | 108 | 108.7050 | 0.1087 |
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- | 109.688 | 32.0 | 112 | 108.7237 | 0.1087 |
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- | 109.688 | 32.86 | 115 | 109.0679 | 0.1087 |
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- | 109.688 | 34.0 | 119 | 108.5750 | 0.1087 |
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- | 109.4549 | 34.29 | 120 | 108.5167 | 0.1087 |
104
 
105
 
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  ### Framework versions
 
21
  metrics:
22
  - name: Accuracy
23
  type: accuracy
24
+ value: 0.717391304347826
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.8492
35
+ - Accuracy: 0.7174
36
 
37
  ## Model description
38
 
 
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
+ | No log | 0.86 | 3 | 1.3859 | 0.3261 |
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+ | No log | 2.0 | 7 | 1.3806 | 0.5217 |
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+ | 1.3829 | 2.86 | 10 | 1.3677 | 0.5870 |
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+ | 1.3829 | 4.0 | 14 | 1.3037 | 0.6739 |
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+ | 1.3829 | 4.86 | 17 | 1.2540 | 0.6522 |
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+ | 1.3074 | 6.0 | 21 | 1.1509 | 0.6522 |
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+ | 1.3074 | 6.86 | 24 | 1.0882 | 0.6739 |
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+ | 1.3074 | 8.0 | 28 | 1.0569 | 0.6522 |
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+ | 1.1437 | 8.86 | 31 | 1.0536 | 0.6304 |
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+ | 1.0439 | 12.86 | 45 | 0.9359 | 0.6304 |
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+ | 1.0439 | 14.0 | 49 | 0.9467 | 0.6522 |
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+ | 0.9813 | 14.86 | 52 | 0.9331 | 0.6522 |
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+ | 0.9813 | 16.0 | 56 | 0.9386 | 0.6522 |
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+ | 0.9813 | 16.86 | 59 | 0.9266 | 0.6739 |
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+ | 0.8763 | 18.0 | 63 | 0.8833 | 0.6957 |
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+ | 0.8763 | 18.86 | 66 | 0.8679 | 0.6739 |
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+ | 0.9187 | 20.0 | 70 | 0.8639 | 0.6957 |
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+ | 0.9187 | 20.86 | 73 | 0.8492 | 0.7174 |
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+ | 0.9187 | 22.0 | 77 | 0.8846 | 0.6957 |
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+ | 0.8067 | 22.86 | 80 | 0.9083 | 0.6522 |
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+ | 0.8067 | 24.0 | 84 | 0.9269 | 0.6522 |
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+ | 0.8067 | 24.86 | 87 | 0.8849 | 0.6739 |
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+ | 0.7248 | 26.0 | 91 | 0.8935 | 0.6522 |
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+ | 0.7248 | 26.86 | 94 | 0.8719 | 0.6957 |
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+ | 0.7248 | 28.0 | 98 | 0.8759 | 0.6739 |
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+ | 0.773 | 28.86 | 101 | 0.8887 | 0.6739 |
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+ | 0.773 | 30.0 | 105 | 0.9288 | 0.6522 |
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+ | 0.773 | 30.86 | 108 | 0.9041 | 0.6522 |
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+ | 0.7467 | 32.0 | 112 | 0.9017 | 0.6522 |
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+ | 0.7467 | 32.86 | 115 | 0.8767 | 0.6522 |
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+ | 0.7467 | 34.0 | 119 | 0.8993 | 0.6739 |
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+ | 0.7323 | 34.29 | 120 | 0.8946 | 0.6522 |
104
 
105
 
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  ### Framework versions
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