Uploaded Model

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-16-thesis-demo-PH2
 
-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.
+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 ahishamm/PH2_db_enhanced_balanced dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0761
 - Accuracy: 0.9844

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.984375,
+    "eval_f1": 0.984375,
+    "eval_loss": 0.07614374160766602,
+    "eval_precision": 0.984375,
+    "eval_recall": 0.984375,
+    "eval_runtime": 1.8482,
+    "eval_samples_per_second": 34.628,
+    "eval_steps_per_second": 4.329,
+    "total_flos": 9.918974670667776e+16,
+    "train_loss": 0.09609116911888123,
+    "train_runtime": 67.2316,
+    "train_samples_per_second": 19.039,
+    "train_steps_per_second": 1.19
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 4.0,
+    "eval_accuracy": 0.984375,
+    "eval_f1": 0.984375,
+    "eval_loss": 0.07614374160766602,
+    "eval_precision": 0.984375,
+    "eval_recall": 0.984375,
+    "eval_runtime": 1.8482,
+    "eval_samples_per_second": 34.628,
+    "eval_steps_per_second": 4.329
+}

runs/Dec05_17-52-28_890f1dc26cee/events.out.tfevents.1701798829.890f1dc26cee.296.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8e52cd37f2b5fe8fbef1bc1a2e69bc0d9fc18165e620a0ef67ef6bb375918e7
+size 551

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "total_flos": 9.918974670667776e+16,
+    "train_loss": 0.09609116911888123,
+    "train_runtime": 67.2316,
+    "train_samples_per_second": 19.039,
+    "train_steps_per_second": 1.19
+}

trainer_state.json

@@ -0,0 +1,88 @@
+{
+  "best_metric": 0.07614374160766602,
+  "best_model_checkpoint": "./vit-base-16-thesis-demo-PH2/checkpoint-50",
+  "epoch": 4.0,
+  "eval_steps": 50,
+  "global_step": 80,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.000175,
+      "loss": 0.3313,
+      "step": 10
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.00015000000000000001,
+      "loss": 0.2035,
+      "step": 20
+    },
+    {
+      "epoch": 1.5,
+      "learning_rate": 0.000125,
+      "loss": 0.1033,
+      "step": 30
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 0.0001,
+      "loss": 0.0258,
+      "step": 40
+    },
+    {
+      "epoch": 2.5,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 0.044,
+      "step": 50
+    },
+    {
+      "epoch": 2.5,
+      "eval_accuracy": 0.984375,
+      "eval_f1": 0.984375,
+      "eval_loss": 0.07614374160766602,
+      "eval_precision": 0.984375,
+      "eval_recall": 0.984375,
+      "eval_runtime": 1.566,
+      "eval_samples_per_second": 40.868,
+      "eval_steps_per_second": 5.109,
+      "step": 50
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 5e-05,
+      "loss": 0.0182,
+      "step": 60
+    },
+    {
+      "epoch": 3.5,
+      "learning_rate": 2.5e-05,
+      "loss": 0.0309,
+      "step": 70
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 0.0,
+      "loss": 0.0116,
+      "step": 80
+    },
+    {
+      "epoch": 4.0,
+      "step": 80,
+      "total_flos": 9.918974670667776e+16,
+      "train_loss": 0.09609116911888123,
+      "train_runtime": 67.2316,
+      "train_samples_per_second": 19.039,
+      "train_steps_per_second": 1.19
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 80,
+  "num_train_epochs": 4,
+  "save_steps": 50,
+  "total_flos": 9.918974670667776e+16,
+  "trial_name": null,
+  "trial_params": null
+}