End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7528735632183908
+      value: 0.7758620689655172
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5588
-- Accuracy: 0.7529
+- Loss: 0.6531
+- Accuracy: 0.7759
 
 ## Model description
 

all_results.json

@@ -1,12 +1,12 @@
 {
     "epoch": 15.0,
-    "eval_accuracy": 0.7298850574712644,
-    "eval_loss": 0.7183188796043396,
-    "eval_runtime": 73.4949,
-    "eval_samples_per_second": 2.368,
-    "eval_steps_per_second": 0.299,
-    "train_loss": 0.5163871185302369,
-    "train_runtime": 118001.491,
-    "train_samples_per_second": 0.199,
-    "train_steps_per_second": 0.033
+    "eval_accuracy": 0.7758620689655172,
+    "eval_loss": 0.6530519723892212,
+    "eval_runtime": 132.8819,
+    "eval_samples_per_second": 1.309,
+    "eval_steps_per_second": 0.166,
+    "train_loss": 0.45436480764952814,
+    "train_runtime": 152136.0702,
+    "train_samples_per_second": 0.154,
+    "train_steps_per_second": 0.026
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 15.0,
-    "eval_accuracy": 0.7298850574712644,
-    "eval_loss": 0.7183188796043396,
-    "eval_runtime": 73.4949,
-    "eval_samples_per_second": 2.368,
-    "eval_steps_per_second": 0.299
+    "eval_accuracy": 0.7758620689655172,
+    "eval_loss": 0.6530519723892212,
+    "eval_runtime": 132.8819,
+    "eval_samples_per_second": 1.309,
+    "eval_steps_per_second": 0.166
 }

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 15.0,
-    "train_loss": 0.5163871185302369,
-    "train_runtime": 118001.491,
-    "train_samples_per_second": 0.199,
-    "train_steps_per_second": 0.033
+    "train_loss": 0.45436480764952814,
+    "train_runtime": 152136.0702,
+    "train_samples_per_second": 0.154,
+    "train_steps_per_second": 0.026
 }