Model save

README.md

@@ -2,10 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: test-hasy-7
   results: []
@@ -16,10 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-hasy-7
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the HASY dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.4984
-- Accuracy: 0.4200
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
 
 ## Model description
 
@@ -44,19 +38,11 @@ The following hyperparameters were used during training:
 - seed: 1787
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2372        | 1.0   | 541  | 3.7457          | 0.3680   |
-| 3.7808        | 2.0   | 1082 | 3.4984          | 0.4200   |
-
+- num_epochs: 1
 
 ### Framework versions
 
 - Transformers 4.38.2
-- Pytorch 2.1.0+cu121
+- Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -269,7 +269,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.38.2"

model.safetensors

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training_args.bin

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