End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: microsoft/beit-large-patch16-384
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # beit-large-patch16-384-limb-person-crop-8_1e-5_1e-4_0.05
 
-This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on the c14kevincardenas/beta_caller_284_person_crop dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8144
-- Accuracy: 0.7073
+- Loss: 0.8098
+- Accuracy: 0.7148
 
 ## Model description
 

all_results.json

@@ -2,12 +2,12 @@
     "epoch": 10.0,
     "eval_accuracy": 0.714759535655058,
     "eval_loss": 0.8097881078720093,
-    "eval_runtime": 15.2134,
-    "eval_samples_per_second": 79.272,
-    "eval_steps_per_second": 2.498,
+    "eval_runtime": 15.6238,
+    "eval_samples_per_second": 77.19,
+    "eval_steps_per_second": 2.432,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 1.0635530485171023,
-    "train_runtime": 1940.5873,
-    "train_samples_per_second": 35.196,
-    "train_steps_per_second": 1.103
+    "train_runtime": 1947.703,
+    "train_samples_per_second": 35.067,
+    "train_steps_per_second": 1.099
 }

eval_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "eval_accuracy": 0.714759535655058,
     "eval_loss": 0.8097881078720093,
-    "eval_runtime": 15.2134,
-    "eval_samples_per_second": 79.272,
-    "eval_steps_per_second": 2.498
+    "eval_runtime": 15.6238,
+    "eval_samples_per_second": 77.19,
+    "eval_steps_per_second": 2.432
 }

train_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 1.0635530485171023,
-    "train_runtime": 1940.5873,
-    "train_samples_per_second": 35.196,
-    "train_steps_per_second": 1.103
+    "train_runtime": 1947.703,
+    "train_samples_per_second": 35.067,
+    "train_steps_per_second": 1.099
 }

trainer_state.json

@@ -68,9 +68,9 @@
       "epoch": 1.0,
       "eval_accuracy": 0.2728026533996683,
       "eval_loss": 1.3978267908096313,
-      "eval_runtime": 15.5465,
-      "eval_samples_per_second": 77.574,
-      "eval_steps_per_second": 2.444,
+      "eval_runtime": 15.0676,
+      "eval_samples_per_second": 80.039,
+      "eval_steps_per_second": 2.522,
       "step": 214
     },
     {
@@ -140,9 +140,9 @@
       "epoch": 2.0,
       "eval_accuracy": 0.494195688225539,
       "eval_loss": 1.1721693277359009,
-      "eval_runtime": 15.4874,
-      "eval_samples_per_second": 77.87,
-      "eval_steps_per_second": 2.454,
+      "eval_runtime": 14.8816,
+      "eval_samples_per_second": 81.04,
+      "eval_steps_per_second": 2.553,
       "step": 428
     },
     {
@@ -205,9 +205,9 @@
       "epoch": 3.0,
       "eval_accuracy": 0.5970149253731343,
       "eval_loss": 0.9763943552970886,
-      "eval_runtime": 15.3132,
-      "eval_samples_per_second": 78.755,
-      "eval_steps_per_second": 2.482,
+      "eval_runtime": 15.6199,
+      "eval_samples_per_second": 77.209,
+      "eval_steps_per_second": 2.433,
       "step": 642
     },
     {
@@ -277,9 +277,9 @@
       "epoch": 4.0,
       "eval_accuracy": 0.5912106135986733,
       "eval_loss": 1.0269614458084106,
-      "eval_runtime": 15.6315,
-      "eval_samples_per_second": 77.152,
-      "eval_steps_per_second": 2.431,
+      "eval_runtime": 15.1752,
+      "eval_samples_per_second": 79.472,
+      "eval_steps_per_second": 2.504,
       "step": 856
     },
     {
@@ -342,9 +342,9 @@
       "epoch": 5.0,
       "eval_accuracy": 0.6625207296849088,
       "eval_loss": 0.9042626619338989,
-      "eval_runtime": 15.7109,
-      "eval_samples_per_second": 76.762,
-      "eval_steps_per_second": 2.419,
+      "eval_runtime": 15.7028,
+      "eval_samples_per_second": 76.802,
+      "eval_steps_per_second": 2.42,
       "step": 1070
     },
     {
@@ -414,9 +414,9 @@
       "epoch": 6.0,
       "eval_accuracy": 0.6824212271973465,
       "eval_loss": 0.8453999161720276,
-      "eval_runtime": 15.2448,
-      "eval_samples_per_second": 79.109,
-      "eval_steps_per_second": 2.493,
+      "eval_runtime": 15.8039,
+      "eval_samples_per_second": 76.31,
+      "eval_steps_per_second": 2.404,
       "step": 1284
     },
     {
@@ -479,9 +479,9 @@
       "epoch": 7.0,
       "eval_accuracy": 0.685737976782753,
       "eval_loss": 0.8481377363204956,
-      "eval_runtime": 15.829,
-      "eval_samples_per_second": 76.189,
-      "eval_steps_per_second": 2.401,
+      "eval_runtime": 15.6522,
+      "eval_samples_per_second": 77.05,
+      "eval_steps_per_second": 2.428,
       "step": 1498
     },
     {
@@ -551,9 +551,9 @@
       "epoch": 8.0,
       "eval_accuracy": 0.7114427860696517,
       "eval_loss": 0.8122716546058655,
-      "eval_runtime": 15.8283,
-      "eval_samples_per_second": 76.193,
-      "eval_steps_per_second": 2.401,
+      "eval_runtime": 15.4952,
+      "eval_samples_per_second": 77.831,
+      "eval_steps_per_second": 2.452,
       "step": 1712
     },
     {
@@ -623,9 +623,9 @@
       "epoch": 9.0,
       "eval_accuracy": 0.714759535655058,
       "eval_loss": 0.8097881078720093,
-      "eval_runtime": 15.2614,
-      "eval_samples_per_second": 79.023,
-      "eval_steps_per_second": 2.49,
+      "eval_runtime": 15.1172,
+      "eval_samples_per_second": 79.777,
+      "eval_steps_per_second": 2.514,
       "step": 1926
     },
     {
@@ -688,9 +688,9 @@
       "epoch": 10.0,
       "eval_accuracy": 0.7072968490878938,
       "eval_loss": 0.8144016265869141,
-      "eval_runtime": 14.8124,
-      "eval_samples_per_second": 81.418,
-      "eval_steps_per_second": 2.565,
+      "eval_runtime": 15.7516,
+      "eval_samples_per_second": 76.564,
+      "eval_steps_per_second": 2.412,
       "step": 2140
     },
     {
@@ -698,9 +698,9 @@
       "step": 2140,
       "total_flos": 5.510586115727032e+19,
       "train_loss": 1.0635530485171023,
-      "train_runtime": 1940.5873,
-      "train_samples_per_second": 35.196,
-      "train_steps_per_second": 1.103
+      "train_runtime": 1947.703,
+      "train_samples_per_second": 35.067,
+      "train_steps_per_second": 1.099
     }
   ],
   "logging_steps": 25,