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_5e-5_5e-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: 0.7301
-- Accuracy: 0.7778
+- Loss: 0.7131
+- Accuracy: 0.7678
 
 ## Model description
 

all_results.json

@@ -2,12 +2,12 @@
     "epoch": 10.0,
     "eval_accuracy": 0.7678275290215588,
     "eval_loss": 0.7130943536758423,
-    "eval_runtime": 15.0545,
-    "eval_samples_per_second": 80.109,
-    "eval_steps_per_second": 2.524,
+    "eval_runtime": 15.4835,
+    "eval_samples_per_second": 77.89,
+    "eval_steps_per_second": 2.454,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 0.9844673860852964,
-    "train_runtime": 1932.9961,
-    "train_samples_per_second": 35.334,
-    "train_steps_per_second": 1.107
+    "train_runtime": 1947.7043,
+    "train_samples_per_second": 35.067,
+    "train_steps_per_second": 1.099
 }

eval_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "eval_accuracy": 0.7678275290215588,
     "eval_loss": 0.7130943536758423,
-    "eval_runtime": 15.0545,
-    "eval_samples_per_second": 80.109,
-    "eval_steps_per_second": 2.524
+    "eval_runtime": 15.4835,
+    "eval_samples_per_second": 77.89,
+    "eval_steps_per_second": 2.454
 }

train_results.json

@@ -2,7 +2,7 @@
     "epoch": 10.0,
     "total_flos": 5.510586115727032e+19,
     "train_loss": 0.9844673860852964,
-    "train_runtime": 1932.9961,
-    "train_samples_per_second": 35.334,
-    "train_steps_per_second": 1.107
+    "train_runtime": 1947.7043,
+    "train_samples_per_second": 35.067,
+    "train_steps_per_second": 1.099
 }

trainer_state.json

@@ -68,9 +68,9 @@
       "epoch": 1.0,
       "eval_accuracy": 0.36401326699834163,
       "eval_loss": 1.5214860439300537,
-      "eval_runtime": 14.8253,
-      "eval_samples_per_second": 81.347,
-      "eval_steps_per_second": 2.563,
+      "eval_runtime": 15.7225,
+      "eval_samples_per_second": 76.706,
+      "eval_steps_per_second": 2.417,
       "step": 214
     },
     {
@@ -140,9 +140,9 @@
       "epoch": 2.0,
       "eval_accuracy": 0.6003316749585407,
       "eval_loss": 1.0013911724090576,
-      "eval_runtime": 14.9657,
-      "eval_samples_per_second": 80.584,
-      "eval_steps_per_second": 2.539,
+      "eval_runtime": 15.5085,
+      "eval_samples_per_second": 77.764,
+      "eval_steps_per_second": 2.45,
       "step": 428
     },
     {
@@ -205,9 +205,9 @@
       "epoch": 3.0,
       "eval_accuracy": 0.6558872305140961,
       "eval_loss": 0.9018123745918274,
-      "eval_runtime": 14.8841,
-      "eval_samples_per_second": 81.026,
-      "eval_steps_per_second": 2.553,
+      "eval_runtime": 15.0025,
+      "eval_samples_per_second": 80.387,
+      "eval_steps_per_second": 2.533,
       "step": 642
     },
     {
@@ -277,9 +277,9 @@
       "epoch": 4.0,
       "eval_accuracy": 0.599502487562189,
       "eval_loss": 0.9687954187393188,
-      "eval_runtime": 15.316,
-      "eval_samples_per_second": 78.741,
-      "eval_steps_per_second": 2.481,
+      "eval_runtime": 15.6954,
+      "eval_samples_per_second": 76.838,
+      "eval_steps_per_second": 2.421,
       "step": 856
     },
     {
@@ -342,9 +342,9 @@
       "epoch": 5.0,
       "eval_accuracy": 0.7014925373134329,
       "eval_loss": 0.8239747285842896,
-      "eval_runtime": 15.051,
-      "eval_samples_per_second": 80.127,
-      "eval_steps_per_second": 2.525,
+      "eval_runtime": 15.4092,
+      "eval_samples_per_second": 78.265,
+      "eval_steps_per_second": 2.466,
       "step": 1070
     },
     {
@@ -414,9 +414,9 @@
       "epoch": 6.0,
       "eval_accuracy": 0.7520729684908789,
       "eval_loss": 0.735476553440094,
-      "eval_runtime": 15.8072,
-      "eval_samples_per_second": 76.294,
-      "eval_steps_per_second": 2.404,
+      "eval_runtime": 15.4241,
+      "eval_samples_per_second": 78.19,
+      "eval_steps_per_second": 2.464,
       "step": 1284
     },
     {
@@ -479,9 +479,9 @@
       "epoch": 7.0,
       "eval_accuracy": 0.746268656716418,
       "eval_loss": 0.76929771900177,
-      "eval_runtime": 15.5641,
-      "eval_samples_per_second": 77.486,
-      "eval_steps_per_second": 2.442,
+      "eval_runtime": 15.0466,
+      "eval_samples_per_second": 80.151,
+      "eval_steps_per_second": 2.525,
       "step": 1498
     },
     {
@@ -551,9 +551,9 @@
       "epoch": 8.0,
       "eval_accuracy": 0.7678275290215588,
       "eval_loss": 0.7130943536758423,
-      "eval_runtime": 15.2988,
-      "eval_samples_per_second": 78.83,
-      "eval_steps_per_second": 2.484,
+      "eval_runtime": 14.9205,
+      "eval_samples_per_second": 80.829,
+      "eval_steps_per_second": 2.547,
       "step": 1712
     },
     {
@@ -623,9 +623,9 @@
       "epoch": 9.0,
       "eval_accuracy": 0.7761194029850746,
       "eval_loss": 0.7315632104873657,
-      "eval_runtime": 15.4091,
-      "eval_samples_per_second": 78.265,
-      "eval_steps_per_second": 2.466,
+      "eval_runtime": 15.7786,
+      "eval_samples_per_second": 76.432,
+      "eval_steps_per_second": 2.408,
       "step": 1926
     },
     {
@@ -688,9 +688,9 @@
       "epoch": 10.0,
       "eval_accuracy": 0.7777777777777778,
       "eval_loss": 0.7300788760185242,
-      "eval_runtime": 15.6295,
-      "eval_samples_per_second": 77.162,
-      "eval_steps_per_second": 2.431,
+      "eval_runtime": 15.755,
+      "eval_samples_per_second": 76.547,
+      "eval_steps_per_second": 2.412,
       "step": 2140
     },
     {
@@ -698,9 +698,9 @@
       "step": 2140,
       "total_flos": 5.510586115727032e+19,
       "train_loss": 0.9844673860852964,
-      "train_runtime": 1932.9961,
-      "train_samples_per_second": 35.334,
-      "train_steps_per_second": 1.107
+      "train_runtime": 1947.7043,
+      "train_samples_per_second": 35.067,
+      "train_steps_per_second": 1.099
     }
   ],
   "logging_steps": 25,