useful_charts_table_text_images_vs_useless_images_classifier

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model_dir
 
-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.
+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 codewithaman/useful_charts_table_text_images_vs_useless_images dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1045
-- Accuracy: 0.9799
+- Loss: 0.0851
+- Accuracy: 0.9853
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9853479853479854,
+    "eval_loss": 0.08512182533740997,
+    "eval_runtime": 45.1707,
+    "eval_samples_per_second": 12.087,
+    "eval_steps_per_second": 1.528,
+    "total_flos": 1.5293819070335877e+18,
+    "train_loss": 0.20495193709398876,
+    "train_runtime": 28441.8571,
+    "train_samples_per_second": 0.694,
+    "train_steps_per_second": 0.694
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.9853479853479854,
+    "eval_loss": 0.08512182533740997,
+    "eval_runtime": 45.1707,
+    "eval_samples_per_second": 12.087,
+    "eval_steps_per_second": 1.528
+}

runs/Nov07_16-43-43_MSI/events.out.tfevents.1731006535.MSI.8160.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de0e3712116a9b77ffbaa7c59593c0031042e335f68d8364fa00548fb3c25608
+size 417

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 1.5293819070335877e+18,
+    "train_loss": 0.20495193709398876,
+    "train_runtime": 28441.8571,
+    "train_samples_per_second": 0.694,
+    "train_steps_per_second": 0.694
+}