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
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2_prosodic_minimal
 
-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/prosodic_minimal dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1205
 - Accuracy: 0.9802

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9802436615080672,
+    "eval_loss": 0.12053382396697998,
+    "eval_runtime": 17.0546,
+    "eval_samples_per_second": 178.075,
+    "eval_steps_per_second": 44.563,
+    "train_loss": 0.3528856125655478,
+    "train_runtime": 4079.5397,
+    "train_samples_per_second": 42.176,
+    "train_steps_per_second": 5.273
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9802436615080672,
+    "eval_loss": 0.12053382396697998,
+    "eval_runtime": 17.0546,
+    "eval_samples_per_second": 178.075,
+    "eval_steps_per_second": 44.563
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 10.0,
+    "train_loss": 0.3528856125655478,
+    "train_runtime": 4079.5397,
+    "train_samples_per_second": 42.176,
+    "train_steps_per_second": 5.273
+}