End of training

README.md

@@ -5,6 +5,8 @@ tags:
 - generated_from_trainer
 datasets:
 - acordes_completo
+metrics:
+- accuracy
 model-index:
 - name: distilhubert-finetuned-chorddetection
   results: []
@@ -16,6 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-chorddetection
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the ChordStimation dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Accuracy: 1.0
 
 ## Model description
 
@@ -43,6 +48,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0           | 1.0   | 3025  | 0.0000          | 1.0      |
+| 0.0           | 2.0   | 6050  | 0.0000          | 1.0      |
+| 0.0           | 3.0   | 9075  | 0.0000          | 1.0      |
+| 0.0           | 4.0   | 12100 | 0.0000          | 1.0      |
+| 0.0           | 5.0   | 15125 | 0.0000          | 1.0      |
+| 0.0           | 6.0   | 18150 | 0.0000          | 1.0      |
+| 0.0           | 7.0   | 21175 | 0.0000          | 1.0      |
+| 0.0           | 8.0   | 24200 | 0.0000          | 1.0      |
+| 0.0           | 9.0   | 27225 | 0.0000          | 1.0      |
+| 0.0           | 10.0  | 30250 | 0.0000          | 1.0      |
+
+
 ### Framework versions
 
 - Transformers 4.35.0.dev0

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:dc9b06f110ca7559210aa494548f2fb3712b1c7fe15d4badffba323d7109157b
 size 94822480