End of training

README.md

@@ -1,6 +1,7 @@
 ---
 base_model: microsoft/wavlm-base
 tags:
+- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3321
+- Loss: 0.3307
 - Accuracy: 0.8974
 
 ## Model description

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.8974400257607471,
+    "eval_loss": 0.3307398855686188,
+    "eval_runtime": 508.9914,
+    "eval_samples_per_second": 48.81,
+    "eval_steps_per_second": 24.405,
+    "train_loss": 0.3268948573686476,
+    "train_runtime": 17006.2717,
+    "train_samples_per_second": 14.924,
+    "train_steps_per_second": 0.466
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.8974400257607471,
+    "eval_loss": 0.3307398855686188,
+    "eval_runtime": 508.9914,
+    "eval_samples_per_second": 48.81,
+    "eval_steps_per_second": 24.405
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 10.0,
+    "train_loss": 0.3268948573686476,
+    "train_runtime": 17006.2717,
+    "train_samples_per_second": 14.924,
+    "train_steps_per_second": 0.466
+}