End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.0525
-- Accuracy: 0.9819
+- Loss: 0.0377
+- Accuracy: 0.9856
 
 ## Model description
 
@@ -38,11 +38,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 1337
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 256
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1366        | 1.0   | 100  | 0.1011          | 0.9569   |
-| 0.0648        | 2.0   | 200  | 0.0648          | 0.9788   |
-| 0.0816        | 3.0   | 300  | 0.0532          | 0.9775   |
-| 0.0351        | 4.0   | 400  | 0.0518          | 0.9794   |
-| 0.02          | 5.0   | 500  | 0.0525          | 0.9819   |
+| 0.1914        | 1.0   | 25   | 0.1001          | 0.9631   |
+| 0.0671        | 2.0   | 50   | 0.0537          | 0.9844   |
+| 0.0554        | 3.0   | 75   | 0.0427          | 0.9862   |
+| 0.0332        | 4.0   | 100  | 0.0416          | 0.99     |
+| 0.029         | 5.0   | 125  | 0.0377          | 0.9856   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35d88716e42a83895382f22777be660036a17426b3fee92275db027736196a7b
+oid sha256:76124f0036ba985843a3cef5a2d6089a4804aa14f94df2e45b18ddb2b0623e32
 size 343223968