Model save

README.md

@@ -0,0 +1,53 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+model-index:
+- name: ryan_model3272024
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ryan_model3272024
+
+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
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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   "hidden_size": 768,
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-    "1": "Poor",
-    "2": "Fair",
-    "3": "Good",
-    "4": "Great",
-    "5": "Excellent"
+    "0": "Poor",
+    "1": "Fair",
+    "2": "Good",
+    "3": "Great",
+    "4": "Excellent",
+    "5": "Not Applicable"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Excellent": "5",
-    "Fair": "2",
-    "Good": "3",
-    "Great": "4",
-    "Not Applicable": "0",
-    "Poor": "1"
+    "Excellent": "4",
+    "Fair": "1",
+    "Good": "2",
+    "Great": "3",
+    "Not Applicable": "5",
+    "Poor": "0"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

model.safetensors

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training_args.bin

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