End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.898876404494382
+      value: 0.8820224719101124
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.4400
-- Accuracy: 0.8989
+- Loss: 0.4880
+- Accuracy: 0.8820
 
 ## Model description
 
@@ -60,19 +60,24 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 12
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9888 | 11   | 0.9209          | 0.6910   |
-| No log        | 1.9775 | 22   | 0.7430          | 0.7809   |
-| No log        | 2.9663 | 33   | 0.7456          | 0.7978   |
-| No log        | 3.9551 | 44   | 0.6411          | 0.7416   |
-| No log        | 4.9438 | 55   | 0.4903          | 0.8652   |
-| No log        | 5.9326 | 66   | 0.4881          | 0.8427   |
-| No log        | 6.9213 | 77   | 0.4400          | 0.8989   |
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.9888  | 11   | 0.9569          | 0.7135   |
+| No log        | 1.9775  | 22   | 0.8898          | 0.6798   |
+| No log        | 2.9663  | 33   | 0.7790          | 0.7528   |
+| No log        | 3.9551  | 44   | 0.7517          | 0.8258   |
+| No log        | 4.9438  | 55   | 0.6255          | 0.8539   |
+| No log        | 5.9326  | 66   | 0.6212          | 0.8258   |
+| No log        | 6.9213  | 77   | 0.5533          | 0.8596   |
+| No log        | 8.0     | 89   | 0.6533          | 0.8427   |
+| No log        | 8.9888  | 100  | 0.5997          | 0.8539   |
+| No log        | 9.9775  | 111  | 0.5749          | 0.8764   |
+| No log        | 10.9663 | 122  | 0.4880          | 0.8820   |
+| No log        | 11.8652 | 132  | 0.4965          | 0.8820   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5807f6aaa6f2b7801169e587d1cd2885cc02702092f52660b42c3995125fa50
+oid sha256:c0321c0e1a946409f094e3415d5b664546190f96678ae4ef17ecdbfa759940dd
 size 94770700

runs/Jul03_18-13-19_DesMar/events.out.tfevents.1720023200.DesMar.15212.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b49aaa78b723559ab3c2bc6a2b465ddd47447c235b39f835c26cb280e1be1c74
-size 9560
+oid sha256:3844614755d4fe6f3df82bf2d85e2ee67ffca4e33a34049d988910f1352f18c3
+size 10237

runs/Jul03_18-13-19_DesMar/events.out.tfevents.1720023969.DesMar.15212.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ee783306f1f331ad3a8c90577aaad7b0d5796ae7a3e27940a497cfa85f2bf93
+size 411