End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6233
-- Accuracy: 0.8914
+- Loss: 0.6309
+- Accuracy: 0.8900
 
 ## Model description
 

all_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 49.02,
     "eval_accuracy": 0.8900473933649289,
-    "eval_loss": 0.6309255361557007,
-    "eval_runtime": 248.2618,
-    "eval_samples_per_second": 4.25,
-    "eval_steps_per_second": 2.127
+    "eval_loss": 0.6309255957603455,
+    "eval_runtime": 246.1102,
+    "eval_samples_per_second": 4.287,
+    "eval_steps_per_second": 2.145
 }

test_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 49.02,
     "eval_accuracy": 0.8900473933649289,
-    "eval_loss": 0.6309255361557007,
-    "eval_runtime": 248.2618,
-    "eval_samples_per_second": 4.25,
-    "eval_steps_per_second": 2.127
+    "eval_loss": 0.6309255957603455,
+    "eval_runtime": 246.1102,
+    "eval_samples_per_second": 4.287,
+    "eval_steps_per_second": 2.145
 }

trainer_state.json

@@ -7144,6 +7144,24 @@
       "eval_samples_per_second": 4.25,
       "eval_steps_per_second": 2.127,
       "step": 11100
+    },
+    {
+      "epoch": 49.02,
+      "eval_accuracy": 0.8913857677902621,
+      "eval_loss": 0.6232641339302063,
+      "eval_runtime": 247.9817,
+      "eval_samples_per_second": 4.307,
+      "eval_steps_per_second": 2.153,
+      "step": 11100
+    },
+    {
+      "epoch": 49.02,
+      "eval_accuracy": 0.8900473933649289,
+      "eval_loss": 0.6309255957603455,
+      "eval_runtime": 246.1102,
+      "eval_samples_per_second": 4.287,
+      "eval_steps_per_second": 2.145,
+      "step": 11100
     }
   ],
   "logging_steps": 10,