Model save

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8630
+- Loss: 1.1628
 - Accuracy: 1.0
 
 ## Model description
@@ -38,11 +38,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.01
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.8765        | 1.0   | 5    | 1.8630          | 1.0      |
+| 2.2638        | 1.0   | 10   | 1.1628          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
-- Pytorch 2.1.2
+- Transformers 4.41.0
+- Pytorch 2.2.1+cu121
 - Datasets 2.19.1
-- Tokenizers 0.15.2
+- Tokenizers 0.19.1