End of training

README.md

@@ -32,7 +32,7 @@ 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: 1.0622
+- Loss: 0.7023
 - Accuracy: 0.8261
 
 ## Model description
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 123
@@ -62,6 +62,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 13   | 0.7023          | 0.8261   |
 
 
 ### Framework versions

runs/Jul02_21-55-02_DesMar/events.out.tfevents.1719950104.DesMar.8256.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ce1c24caf1aa827e70f11cbf1dd30bddedc726a98dd3f8d35af867c042ba096
-size 5905
+oid sha256:1d5647e82d7d4b1dc5ead83269bc966b577d00a1af4931023c965be4dcd8518b
+size 6570

runs/Jul02_21-55-02_DesMar/events.out.tfevents.1719950423.DesMar.8256.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7afeeee76831b5f18c645893450bd29afe63d21895bddbc0581a135c43e6d517
+size 405