End of training

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: mit
 base_model: facebook/w2v-bert-2.0
 tags:
+- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -21,11 +22,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1634
-- Accuracy: 0.5646
-- Precision: 0.5686
-- Recall: 0.5646
-- F1: 0.5531
+- Loss: 1.1566
+- Accuracy: 0.5682
+- Precision: 0.5726
+- Recall: 0.5682
+- F1: 0.5579
 
 ## Model description
 

all_results.json

@@ -1,13 +1,16 @@
 {
     "epoch": 10.0,
-    "eval_accuracy": 0.7453412354127207,
-    "eval_loss": 0.6934976577758789,
-    "eval_runtime": 1855.461,
-    "eval_samples_per_second": 17.642,
-    "eval_steps_per_second": 4.411,
-    "total_flos": 2.8536683814220615e+20,
-    "train_loss": 1.1817914221248462,
-    "train_runtime": 92460.3356,
-    "train_samples_per_second": 14.161,
-    "train_steps_per_second": 3.54
+    "eval_accuracy": 0.5682333333333334,
+    "eval_f1": 0.557868831530041,
+    "eval_loss": 1.1565907001495361,
+    "eval_precision": 0.5726040322041763,
+    "eval_recall": 0.5682333333333333,
+    "eval_runtime": 11697.024,
+    "eval_samples_per_second": 15.389,
+    "eval_steps_per_second": 0.481,
+    "total_flos": 3.255708097594316e+21,
+    "train_loss": 1.0024504264716565,
+    "train_runtime": 1110055.9196,
+    "train_samples_per_second": 7.412,
+    "train_steps_per_second": 0.463
 }

eval_results.json

@@ -1,8 +1,11 @@
 {
     "epoch": 10.0,
-    "eval_accuracy": 0.7453412354127207,
-    "eval_loss": 0.6934976577758789,
-    "eval_runtime": 1855.461,
-    "eval_samples_per_second": 17.642,
-    "eval_steps_per_second": 4.411
+    "eval_accuracy": 0.5682333333333334,
+    "eval_f1": 0.557868831530041,
+    "eval_loss": 1.1565907001495361,
+    "eval_precision": 0.5726040322041763,
+    "eval_recall": 0.5682333333333333,
+    "eval_runtime": 11697.024,
+    "eval_samples_per_second": 15.389,
+    "eval_steps_per_second": 0.481
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 10.0,
-    "total_flos": 2.8536683814220615e+20,
-    "train_loss": 1.1817914221248462,
-    "train_runtime": 92460.3356,
-    "train_samples_per_second": 14.161,
-    "train_steps_per_second": 3.54
+    "total_flos": 3.255708097594316e+21,
+    "train_loss": 1.0024504264716565,
+    "train_runtime": 1110055.9196,
+    "train_samples_per_second": 7.412,
+    "train_steps_per_second": 0.463
 }