End of training

README.md

@@ -15,10 +15,10 @@ 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: 0.3894
-- Validation Loss: 0.3361
-- Train Accuracy: 0.918
-- Epoch: 4
+- Train Loss: 3.3179
+- Validation Loss: 2.3461
+- Train Accuracy: 0.788
+- Epoch: 0
 
 ## Model description
 
@@ -37,23 +37,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 4000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.7914     | 1.6302          | 0.809          | 0     |
-| 1.2193     | 0.8359          | 0.883          | 1     |
-| 0.7091     | 0.5590          | 0.886          | 2     |
-| 0.4910     | 0.4151          | 0.915          | 3     |
-| 0.3894     | 0.3361          | 0.918          | 4     |
+| 3.3179     | 2.3461          | 0.788          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
+- Transformers 4.41.0.dev0
 - TensorFlow 2.16.1
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -224,5 +224,5 @@
   "num_hidden_layers": 12,
   "patch_size": 16,
   "qkv_bias": true,
-  "transformers_version": "4.40.2"
+  "transformers_version": "4.41.0.dev0"
 }

tf_model.h5

@@ -1,3 +1,3 @@
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 size 343773880