Model save

README.md

@@ -3,14 +3,27 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
-- vision
 - generated_from_trainer
+datasets:
+- imagefolder
 metrics:
 - accuracy
 model-index:
 - name: vit-base-beans
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9774436090225563
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-beans
 
-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 beans dataset.
+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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0656
-- Accuracy: 0.9925
+- Accuracy: 0.9774
+- Loss: 0.0837
 
 ## Model description
 
@@ -50,13 +63,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2859        | 1.0   | 130  | 0.2189          | 0.9624   |
-| 0.1316        | 2.0   | 260  | 0.1334          | 0.9699   |
-| 0.1438        | 3.0   | 390  | 0.0981          | 0.9699   |
-| 0.0833        | 4.0   | 520  | 0.0656          | 0.9925   |
-| 0.1107        | 5.0   | 650  | 0.0817          | 0.9774   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.2815        | 1.0   | 130  | 0.9624   | 0.2165          |
+| 0.1287        | 2.0   | 260  | 0.9699   | 0.1313          |
+| 0.1408        | 3.0   | 390  | 0.9699   | 0.0998          |
+| 0.0846        | 4.0   | 520  | 0.9925   | 0.0650          |
+| 0.1105        | 5.0   | 650  | 0.9774   | 0.0837          |
 
 
 ### Framework versions

all_results.json

@@ -1,13 +1,13 @@
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+    "train_runtime": 113.9852,
+    "train_samples_per_second": 45.357,
+    "train_steps_per_second": 5.702
 }

config.json

@@ -28,7 +28,6 @@
   "num_channels": 3,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.45.0.dev0"

eval_results.json

@@ -1,8 +1,8 @@
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 }

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:6ab43b90e9a0dba3663bb520f27f1b133faa119571c5b3441c604f369343ff38
 size 343227052

train_results.json

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+    "train_runtime": 113.9852,
+    "train_samples_per_second": 45.357,
+    "train_steps_per_second": 5.702
 }

trainer_state.json

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