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_0.1
 
-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: 0.8807
-- Accuracy: 0.7056
+- Loss: 0.8748
+- Accuracy: 0.7156
 
 ## Model description
 

all_results.json

@@ -2,12 +2,12 @@
     "epoch": 10.0,
     "eval_accuracy": 0.7155887230514096,
     "eval_loss": 0.8748477697372437,
-    "eval_runtime": 15.3764,
-    "eval_samples_per_second": 78.432,
-    "eval_steps_per_second": 2.471,
+    "eval_runtime": 15.5637,
+    "eval_samples_per_second": 77.488,
+    "eval_steps_per_second": 2.442,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 1.103826135118431,
-    "train_runtime": 1938.356,
-    "train_samples_per_second": 35.236,
-    "train_steps_per_second": 1.104
+    "train_runtime": 1935.7344,
+    "train_samples_per_second": 35.284,
+    "train_steps_per_second": 1.106
 }

eval_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "eval_accuracy": 0.7155887230514096,
     "eval_loss": 0.8748477697372437,
-    "eval_runtime": 15.3764,
-    "eval_samples_per_second": 78.432,
-    "eval_steps_per_second": 2.471
+    "eval_runtime": 15.5637,
+    "eval_samples_per_second": 77.488,
+    "eval_steps_per_second": 2.442
 }

train_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 1.103826135118431,
-    "train_runtime": 1938.356,
-    "train_samples_per_second": 35.236,
-    "train_steps_per_second": 1.104
+    "train_runtime": 1935.7344,
+    "train_samples_per_second": 35.284,
+    "train_steps_per_second": 1.106
 }

trainer_state.json

@@ -68,9 +68,9 @@
       "epoch": 1.0,
       "eval_accuracy": 0.2744610281923715,
       "eval_loss": 1.3974584341049194,
-      "eval_runtime": 14.9092,
-      "eval_samples_per_second": 80.889,
-      "eval_steps_per_second": 2.549,
+      "eval_runtime": 15.3016,
+      "eval_samples_per_second": 78.815,
+      "eval_steps_per_second": 2.483,
       "step": 214
     },
     {
@@ -140,9 +140,9 @@
       "epoch": 2.0,
       "eval_accuracy": 0.49087893864013266,
       "eval_loss": 1.1979795694351196,
-      "eval_runtime": 15.0451,
-      "eval_samples_per_second": 80.159,
-      "eval_steps_per_second": 2.526,
+      "eval_runtime": 15.2164,
+      "eval_samples_per_second": 79.257,
+      "eval_steps_per_second": 2.497,
       "step": 428
     },
     {
@@ -205,9 +205,9 @@
       "epoch": 3.0,
       "eval_accuracy": 0.5978441127694859,
       "eval_loss": 1.027214765548706,
-      "eval_runtime": 14.9345,
-      "eval_samples_per_second": 80.752,
-      "eval_steps_per_second": 2.544,
+      "eval_runtime": 15.3221,
+      "eval_samples_per_second": 78.71,
+      "eval_steps_per_second": 2.48,
       "step": 642
     },
     {
@@ -277,9 +277,9 @@
       "epoch": 4.0,
       "eval_accuracy": 0.5953565505804311,
       "eval_loss": 1.0476573705673218,
-      "eval_runtime": 14.7257,
-      "eval_samples_per_second": 81.897,
-      "eval_steps_per_second": 2.581,
+      "eval_runtime": 15.1491,
+      "eval_samples_per_second": 79.609,
+      "eval_steps_per_second": 2.508,
       "step": 856
     },
     {
@@ -342,9 +342,9 @@
       "epoch": 5.0,
       "eval_accuracy": 0.6592039800995025,
       "eval_loss": 0.9599226713180542,
-      "eval_runtime": 15.6477,
-      "eval_samples_per_second": 77.072,
-      "eval_steps_per_second": 2.428,
+      "eval_runtime": 15.1792,
+      "eval_samples_per_second": 79.451,
+      "eval_steps_per_second": 2.503,
       "step": 1070
     },
     {
@@ -414,9 +414,9 @@
       "epoch": 6.0,
       "eval_accuracy": 0.6807628524046434,
       "eval_loss": 0.9090853333473206,
-      "eval_runtime": 15.6848,
-      "eval_samples_per_second": 76.89,
-      "eval_steps_per_second": 2.423,
+      "eval_runtime": 15.2965,
+      "eval_samples_per_second": 78.842,
+      "eval_steps_per_second": 2.484,
       "step": 1284
     },
     {
@@ -479,9 +479,9 @@
       "epoch": 7.0,
       "eval_accuracy": 0.6890547263681592,
       "eval_loss": 0.9250107407569885,
-      "eval_runtime": 15.3491,
-      "eval_samples_per_second": 78.571,
-      "eval_steps_per_second": 2.476,
+      "eval_runtime": 15.1589,
+      "eval_samples_per_second": 79.557,
+      "eval_steps_per_second": 2.507,
       "step": 1498
     },
     {
@@ -551,9 +551,9 @@
       "epoch": 8.0,
       "eval_accuracy": 0.714759535655058,
       "eval_loss": 0.8801141977310181,
-      "eval_runtime": 15.7905,
-      "eval_samples_per_second": 76.375,
-      "eval_steps_per_second": 2.407,
+      "eval_runtime": 14.8458,
+      "eval_samples_per_second": 81.235,
+      "eval_steps_per_second": 2.56,
       "step": 1712
     },
     {
@@ -623,9 +623,9 @@
       "epoch": 9.0,
       "eval_accuracy": 0.7155887230514096,
       "eval_loss": 0.8748477697372437,
-      "eval_runtime": 15.7584,
-      "eval_samples_per_second": 76.531,
-      "eval_steps_per_second": 2.411,
+      "eval_runtime": 15.4428,
+      "eval_samples_per_second": 78.094,
+      "eval_steps_per_second": 2.461,
       "step": 1926
     },
     {
@@ -688,9 +688,9 @@
       "epoch": 10.0,
       "eval_accuracy": 0.7056384742951907,
       "eval_loss": 0.8807059526443481,
-      "eval_runtime": 15.1858,
-      "eval_samples_per_second": 79.416,
-      "eval_steps_per_second": 2.502,
+      "eval_runtime": 15.7901,
+      "eval_samples_per_second": 76.377,
+      "eval_steps_per_second": 2.407,
       "step": 2140
     },
     {
@@ -698,9 +698,9 @@
       "step": 2140,
       "total_flos": 5.510586115727032e+19,
       "train_loss": 1.103826135118431,
-      "train_runtime": 1938.356,
-      "train_samples_per_second": 35.236,
-      "train_steps_per_second": 1.104
+      "train_runtime": 1935.7344,
+      "train_samples_per_second": 35.284,
+      "train_steps_per_second": 1.106
     }
   ],
   "logging_steps": 25,