Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: facebook/wav2vec2-base-960h
+base_model: ntu-spml/distilhubert
 tags:
 - generated_from_trainer
 datasets:
@@ -30,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # heartbeat-detection
 
-This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9789
+- Loss: 0.0188
 - Accuracy: 1.0
 
 ## Model description
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.502         | 1.0   | 9    | 1.4299          | 1.0      |
-| 1.36          | 2.0   | 18   | 1.2031          | 1.0      |
-| 1.1624        | 3.0   | 27   | 1.1131          | 1.0      |
-| 1.0597        | 4.0   | 36   | 0.9789          | 1.0      |
+| 1.0887        | 1.0   | 9    | 0.4748          | 1.0      |
+| 0.3246        | 2.0   | 18   | 0.1406          | 1.0      |
+| 0.1064        | 3.0   | 27   | 0.0461          | 1.0      |
+| 0.0386        | 4.0   | 36   | 0.0188          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4865c721ae666f14f64d1d3a296f493a48869ac2af628efb7fbd803902cd4d11
+oid sha256:c73fd71dba7ded557043f6d01cb37c9ae317073ff29b2200314d77bc660e8f13
 size 94766588