End of training

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
+- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-present
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the MatsRooth/object dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0890
-- Accuracy: 0.9848
+- Loss: 0.0867
+- Accuracy: 0.9857
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9857405703771849,
+    "eval_loss": 0.08672840148210526,
+    "eval_runtime": 10.9736,
+    "eval_samples_per_second": 198.112,
+    "eval_steps_per_second": 49.574,
+    "train_loss": 0.30538128049362784,
+    "train_runtime": 2387.2875,
+    "train_samples_per_second": 51.59,
+    "train_steps_per_second": 6.447
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9857405703771849,
+    "eval_loss": 0.08672840148210526,
+    "eval_runtime": 10.9736,
+    "eval_samples_per_second": 198.112,
+    "eval_steps_per_second": 49.574
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 10.0,
+    "train_loss": 0.30538128049362784,
+    "train_runtime": 2387.2875,
+    "train_samples_per_second": 51.59,
+    "train_steps_per_second": 6.447
+}