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End of training

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Files changed (3) hide show
  1. README.md +31 -21
  2. model.safetensors +1 -1
  3. runs/Feb14_10-59-01_bd025bc4b5c5/events.out.tfevents.1707909314.bd025bc4b5c5.8649.1 +3 -0
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.54375
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2178
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- - Accuracy: 0.5437
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  ## Model description
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@@ -53,32 +53,42 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 40 | 1.8642 | 0.2812 |
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- | No log | 2.0 | 80 | 1.5841 | 0.3375 |
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- | No log | 3.0 | 120 | 1.4703 | 0.4313 |
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- | No log | 4.0 | 160 | 1.3710 | 0.4625 |
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- | No log | 5.0 | 200 | 1.3607 | 0.5 |
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- | No log | 6.0 | 240 | 1.2858 | 0.5437 |
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- | No log | 7.0 | 280 | 1.3121 | 0.5312 |
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- | No log | 8.0 | 320 | 1.1974 | 0.55 |
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- | No log | 9.0 | 360 | 1.2417 | 0.5 |
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- | No log | 10.0 | 400 | 1.2372 | 0.5437 |
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- | No log | 11.0 | 440 | 1.2559 | 0.5437 |
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- | No log | 12.0 | 480 | 1.1714 | 0.5813 |
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- | 1.0676 | 13.0 | 520 | 1.2224 | 0.5062 |
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- | 1.0676 | 14.0 | 560 | 1.2503 | 0.5625 |
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- | 1.0676 | 15.0 | 600 | 1.2574 | 0.5687 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.6
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4897
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+ - Accuracy: 0.6
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 25
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 80 | 1.7001 | 0.325 |
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+ | No log | 2.0 | 160 | 1.4642 | 0.4875 |
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+ | No log | 3.0 | 240 | 1.3522 | 0.4625 |
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+ | No log | 4.0 | 320 | 1.3493 | 0.4688 |
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+ | No log | 5.0 | 400 | 1.2052 | 0.55 |
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+ | No log | 6.0 | 480 | 1.2267 | 0.5563 |
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+ | 1.2917 | 7.0 | 560 | 1.1744 | 0.6062 |
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+ | 1.2917 | 8.0 | 640 | 1.2969 | 0.5437 |
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+ | 1.2917 | 9.0 | 720 | 1.2519 | 0.5687 |
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+ | 1.2917 | 10.0 | 800 | 1.3108 | 0.5125 |
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+ | 1.2917 | 11.0 | 880 | 1.2725 | 0.5875 |
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+ | 1.2917 | 12.0 | 960 | 1.3437 | 0.55 |
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+ | 0.5002 | 13.0 | 1040 | 1.3790 | 0.5375 |
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+ | 0.5002 | 14.0 | 1120 | 1.3432 | 0.625 |
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+ | 0.5002 | 15.0 | 1200 | 1.4395 | 0.55 |
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+ | 0.5002 | 16.0 | 1280 | 1.3672 | 0.5875 |
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+ | 0.5002 | 17.0 | 1360 | 1.3928 | 0.575 |
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+ | 0.5002 | 18.0 | 1440 | 1.3016 | 0.5875 |
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+ | 0.2523 | 19.0 | 1520 | 1.4815 | 0.5625 |
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+ | 0.2523 | 20.0 | 1600 | 1.3394 | 0.6062 |
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+ | 0.2523 | 21.0 | 1680 | 1.3450 | 0.5938 |
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+ | 0.2523 | 22.0 | 1760 | 1.3924 | 0.6312 |
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+ | 0.2523 | 23.0 | 1840 | 1.4664 | 0.5813 |
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+ | 0.2523 | 24.0 | 1920 | 1.2635 | 0.65 |
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+ | 0.1723 | 25.0 | 2000 | 1.4154 | 0.5625 |
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  ### Framework versions
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