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swiftformer-xs-DMAE

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End of training

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Files changed (14) hide show
  1. README.md +40 -39
  2. all_results.json +8 -8
  3. config.json +8 -8
  4. eval_results.json +4 -4
  5. model.safetensors +1 -1
  6. runs/Dec02_11-33-33_DESKTOP-SKBE9FB/events.out.tfevents.1733160814.DESKTOP-SKBE9FB.16380.0 +3 -0
  7. runs/Dec02_11-35-09_DESKTOP-SKBE9FB/events.out.tfevents.1733160909.DESKTOP-SKBE9FB.4408.0 +3 -0
  8. runs/Dec02_11-36-38_DESKTOP-SKBE9FB/events.out.tfevents.1733160999.DESKTOP-SKBE9FB.19404.0 +3 -0
  9. runs/Dec02_11-40-14_DESKTOP-SKBE9FB/events.out.tfevents.1733161215.DESKTOP-SKBE9FB.1968.0 +3 -0
  10. runs/Dec02_11-41-54_DESKTOP-SKBE9FB/events.out.tfevents.1733161314.DESKTOP-SKBE9FB.17516.0 +3 -0
  11. runs/Dec02_11-41-54_DESKTOP-SKBE9FB/events.out.tfevents.1733161434.DESKTOP-SKBE9FB.17516.1 +3 -0
  12. train_results.json +4 -4
  13. trainer_state.json +167 -167
  14. training_args.bin +1 -1
README.md CHANGED
@@ -31,7 +31,7 @@ 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: 113.8668
35
  - Accuracy: 0.1087
36
 
37
  ## Model description
@@ -51,7 +51,7 @@ More information needed
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
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- - learning_rate: 2.5e-05
55
  - train_batch_size: 16
56
  - eval_batch_size: 16
57
  - seed: 42
@@ -59,47 +59,48 @@ The following hyperparameters were used during training:
59
  - total_train_batch_size: 64
60
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
61
  - lr_scheduler_type: linear
 
62
  - num_epochs: 40
63
 
64
  ### Training results
65
 
66
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.86 | 3 | 113.8668 | 0.1087 |
69
- | No log | 2.0 | 7 | 113.8652 | 0.1087 |
70
- | 114.139 | 2.86 | 10 | 113.8636 | 0.1087 |
71
- | 114.139 | 4.0 | 14 | 113.8630 | 0.1087 |
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- | 114.139 | 4.86 | 17 | 113.8617 | 0.1087 |
73
- | 113.4957 | 6.0 | 21 | 113.8592 | 0.1087 |
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- | 113.4957 | 6.86 | 24 | 113.8579 | 0.1087 |
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- | 113.4957 | 8.0 | 28 | 113.8578 | 0.1087 |
76
- | 111.7345 | 8.86 | 31 | 113.8550 | 0.1087 |
77
- | 111.7345 | 10.0 | 35 | 113.8531 | 0.1087 |
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- | 111.7345 | 10.86 | 38 | 113.8520 | 0.1087 |
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- | 115.9214 | 12.0 | 42 | 113.8497 | 0.1087 |
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- | 115.9214 | 12.86 | 45 | 113.8484 | 0.1087 |
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- | 115.9214 | 14.0 | 49 | 113.8455 | 0.1087 |
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- | 112.3215 | 14.86 | 52 | 113.8392 | 0.1087 |
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- | 112.3215 | 16.0 | 56 | 113.8351 | 0.1087 |
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- | 112.3215 | 16.86 | 59 | 113.8354 | 0.1087 |
85
- | 113.1908 | 18.0 | 63 | 113.8316 | 0.1087 |
86
- | 113.1908 | 18.86 | 66 | 113.8295 | 0.1087 |
87
- | 114.062 | 20.0 | 70 | 113.8284 | 0.1087 |
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- | 114.062 | 20.86 | 73 | 113.8253 | 0.1087 |
89
- | 114.062 | 22.0 | 77 | 113.8235 | 0.1087 |
90
- | 114.5312 | 22.86 | 80 | 113.8207 | 0.1087 |
91
- | 114.5312 | 24.0 | 84 | 113.8126 | 0.1087 |
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- | 114.5312 | 24.86 | 87 | 113.8100 | 0.1087 |
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- | 114.5216 | 26.0 | 91 | 113.8053 | 0.1087 |
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- | 114.5216 | 26.86 | 94 | 113.8032 | 0.1087 |
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- | 114.5216 | 28.0 | 98 | 113.8035 | 0.1087 |
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- | 112.7612 | 28.86 | 101 | 113.7992 | 0.1087 |
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- | 112.7612 | 30.0 | 105 | 113.7939 | 0.1087 |
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- | 112.7612 | 30.86 | 108 | 113.7967 | 0.1087 |
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- | 114.2748 | 32.0 | 112 | 113.7973 | 0.1087 |
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- | 114.2748 | 34.0 | 119 | 113.7908 | 0.1087 |
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- | 114.0708 | 34.29 | 120 | 113.7932 | 0.1087 |
103
 
104
 
105
  ### Framework versions
 
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: 125514790469632.0
35
  - Accuracy: 0.1087
36
 
37
  ## Model description
 
51
  ### Training hyperparameters
52
 
53
  The following hyperparameters were used during training:
54
+ - learning_rate: 1.5e-05
55
  - train_batch_size: 16
56
  - eval_batch_size: 16
57
  - seed: 42
 
59
  - total_train_batch_size: 64
60
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
61
  - lr_scheduler_type: linear
62
+ - lr_scheduler_warmup_ratio: 0.01
63
  - num_epochs: 40
64
 
65
  ### Training results
66
 
67
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
+ |:-----------------:|:-----:|:----:|:-----------------:|:--------:|
69
+ | No log | 0.86 | 3 | 125514790469632.0 | 0.1087 |
70
+ | No log | 2.0 | 7 | 125514790469632.0 | 0.1087 |
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+ | 125815215043379.2 | 34.29 | 120 | 125514790469632.0 | 0.1087 |
104
 
105
 
106
  ### Framework versions
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