End of training

README.md

@@ -9,7 +9,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: distilhubert-finetuned-gtzan
+- name: distilhubert-finetuned-hyperparam-gtzan
   results:
   - task:
       name: Audio Classification
@@ -23,18 +23,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.83
+      value: 0.85
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# distilhubert-finetuned-gtzan
+# distilhubert-finetuned-hyperparam-gtzan
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5904
-- Accuracy: 0.83
+- Loss: 0.9688
+- Accuracy: 0.85
 
 ## Model description
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8372        | 1.0   | 113  | 1.7991          | 0.52     |
-| 1.1533        | 2.0   | 226  | 1.2024          | 0.69     |
-| 1.0302        | 3.0   | 339  | 1.0371          | 0.68     |
-| 0.6826        | 4.0   | 452  | 0.8308          | 0.72     |
-| 0.5169        | 5.0   | 565  | 0.7141          | 0.8      |
-| 0.3618        | 6.0   | 678  | 0.6342          | 0.82     |
-| 0.2694        | 7.0   | 791  | 0.5588          | 0.85     |
-| 0.1095        | 8.0   | 904  | 0.6603          | 0.81     |
-| 0.2198        | 9.0   | 1017 | 0.5827          | 0.85     |
-| 0.1053        | 10.0  | 1130 | 0.5904          | 0.83     |
+| 0.0094        | 1.0   | 113  | 0.8756          | 0.84     |
+| 0.011         | 2.0   | 226  | 0.7378          | 0.85     |
+| 0.0029        | 3.0   | 339  | 0.8741          | 0.85     |
+| 0.0022        | 4.0   | 452  | 0.8754          | 0.85     |
+| 0.0017        | 5.0   | 565  | 0.9499          | 0.84     |
+| 0.0015        | 6.0   | 678  | 1.0933          | 0.83     |
+| 0.0012        | 7.0   | 791  | 0.9248          | 0.85     |
+| 0.0011        | 8.0   | 904  | 0.9566          | 0.85     |
+| 0.0012        | 9.0   | 1017 | 0.9914          | 0.85     |
+| 0.0011        | 10.0  | 1130 | 0.9688          | 0.85     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f05ffb7d7c2227aa352c6f74fdd9c9097078c31de9c81d4c69bc121d95e793a
+oid sha256:d86a257d9c2efc53cd58fbaa03bb3fcc61ce2b4025e78d7fc05556f0ccb5e060
 size 94771728