Brain MRI 🧠 fine tune II run - 15 epochs.

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-brain-mri
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the BrainMRI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5992
-- Accuracy: 0.7857
+- Loss: 1.1297
+- Accuracy: 0.5685
 
 ## Model description
 

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 14.0,
+    "epoch": 15.0,
     "eval_accuracy": 0.5685279187817259,
     "eval_loss": 1.129746437072754,
-    "eval_runtime": 3.146,
-    "eval_samples_per_second": 125.24,
-    "eval_steps_per_second": 15.893,
-    "total_flos": 2.4909471645141565e+18,
-    "train_loss": 0.0,
-    "train_runtime": 0.147,
-    "train_samples_per_second": 218667.975,
-    "train_steps_per_second": 6857.184
+    "eval_runtime": 3.3762,
+    "eval_samples_per_second": 116.699,
+    "eval_steps_per_second": 14.809,
+    "total_flos": 2.6688719619794534e+18,
+    "train_loss": 0.03615495540477611,
+    "train_runtime": 26.3241,
+    "train_samples_per_second": 1308.306,
+    "train_steps_per_second": 41.027
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 14.0,
+    "epoch": 15.0,
     "eval_accuracy": 0.5685279187817259,
     "eval_loss": 1.129746437072754,
-    "eval_runtime": 3.146,
-    "eval_samples_per_second": 125.24,
-    "eval_steps_per_second": 15.893
+    "eval_runtime": 3.3762,
+    "eval_samples_per_second": 116.699,
+    "eval_steps_per_second": 14.809
 }

runs/Aug25_15-56-19_DESKTOP-4SGMSGR/events.out.tfevents.1724590623.DESKTOP-4SGMSGR.39664.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fe9351ecace462a70d5e9236abf8385444394e33b0469513ec3cc6ccc479f08
+size 363

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 14.0,
-    "total_flos": 2.4909471645141565e+18,
-    "train_loss": 0.0,
-    "train_runtime": 0.147,
-    "train_samples_per_second": 218667.975,
-    "train_steps_per_second": 6857.184
+    "epoch": 15.0,
+    "total_flos": 2.6688719619794534e+18,
+    "train_loss": 0.03615495540477611,
+    "train_runtime": 26.3241,
+    "train_samples_per_second": 1308.306,
+    "train_steps_per_second": 41.027
 }

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.5857352614402771,
   "best_model_checkpoint": "./vit-base-brain-mri\\checkpoint-1008",
-  "epoch": 14.0,
+  "epoch": 15.0,
   "eval_steps": 500,
-  "global_step": 1008,
+  "global_step": 1080,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -205,19 +205,28 @@
       "step": 1008
     },
     {
-      "epoch": 14.0,
-      "step": 1008,
-      "total_flos": 2.4909471645141565e+18,
-      "train_loss": 0.0,
-      "train_runtime": 0.147,
-      "train_samples_per_second": 218667.975,
-      "train_steps_per_second": 6857.184
+      "epoch": 15.0,
+      "eval_accuracy": 0.7857142857142857,
+      "eval_loss": 0.5991856455802917,
+      "eval_runtime": 5.1206,
+      "eval_samples_per_second": 112.096,
+      "eval_steps_per_second": 14.061,
+      "step": 1080
+    },
+    {
+      "epoch": 15.0,
+      "step": 1080,
+      "total_flos": 2.6688719619794534e+18,
+      "train_loss": 0.03615495540477611,
+      "train_runtime": 26.3241,
+      "train_samples_per_second": 1308.306,
+      "train_steps_per_second": 41.027
     }
   ],
   "logging_steps": 100,
-  "max_steps": 1008,
+  "max_steps": 1080,
   "num_input_tokens_seen": 0,
-  "num_train_epochs": 14,
+  "num_train_epochs": 15,
   "save_steps": 500,
   "stateful_callbacks": {
     "TrainerControl": {
@@ -231,7 +240,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 2.4909471645141565e+18,
+  "total_flos": 2.6688719619794534e+18,
   "train_batch_size": 32,
   "trial_name": null,
   "trial_params": null