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
@@ -18,8 +19,8 @@ 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: 0.7014
-- Accuracy: 0.7415
+- Loss: 0.6935
+- Accuracy: 0.7453
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "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_results.json

@@ -0,0 +1,8 @@
+{
+    "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
+}

train_results.json

@@ -0,0 +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
+}