End of training

README.md

@@ -15,8 +15,8 @@ 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:
-- Train Loss: 0.7172
-- Validation Loss: 0.8015
+- Train Loss: 0.7196
+- Validation Loss: 0.8069
 - Train Accuracy: 1.0
 - Epoch: 4
 
@@ -44,16 +44,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.0831     | 1.0174          | 0.8333         | 0     |
-| 0.9608     | 0.9565          | 0.8333         | 1     |
-| 0.8713     | 0.9074          | 0.8333         | 2     |
-| 0.7930     | 0.8555          | 0.8333         | 3     |
-| 0.7172     | 0.8015          | 1.0            | 4     |
+| 1.1054     | 1.0410          | 0.8333         | 0     |
+| 0.9869     | 0.9692          | 0.8333         | 1     |
+| 0.8856     | 0.9035          | 1.0            | 2     |
+| 0.8117     | 0.8585          | 1.0            | 3     |
+| 0.7196     | 0.8069          | 1.0            | 4     |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- TensorFlow 2.13.0
-- Datasets 2.14.5
+- Transformers 4.34.1
+- TensorFlow 2.14.0
+- Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -28,5 +28,5 @@
   "num_hidden_layers": 12,
   "patch_size": 16,
   "qkv_bias": true,
-  "transformers_version": "4.34.0"
+  "transformers_version": "4.34.1"
 }

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:a93180d2ccafef02e906b1ec9435552833e98b81bbbd0f3a67638afe334721ef
 size 343472824