End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/vit-large-patch16-224-in21k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: Psoriasis-Project-M-vit-large-patch16-224-in21k
   results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1059
-- eval_accuracy: 0.9583
-- eval_runtime: 6.8679
-- eval_samples_per_second: 6.989
-- eval_steps_per_second: 0.437
-- epoch: 12.92
-- step: 84
+- Loss: 0.2704
+- Accuracy: 0.9375
 
 ## Model description
 
@@ -49,11 +46,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 14
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.92  | 6    | 1.1518          | 0.7083   |
+| 1.4225        | 2.0   | 13   | 0.5772          | 0.875    |
+| 1.4225        | 2.92  | 19   | 0.3717          | 0.9167   |
+| 0.4431        | 4.0   | 26   | 0.2775          | 0.9375   |
+| 0.1332        | 4.62  | 30   | 0.2704          | 0.9375   |
+
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.39.3
+- Pytorch 2.1.2
 - Datasets 2.18.0
 - Tokenizers 0.15.2

runs/Apr13_14-21-48_b2eafe1b591d/events.out.tfevents.1713018109.b2eafe1b591d.196.0

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