update model card README.md

README.md

@@ -1,28 +1,13 @@
 ---
 license: apache-2.0
-base_model: NicolasDenier/distilhubert-finetuned-gtzan
+base_model: ntu-spml/distilhubert
 tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
-metrics:
-- accuracy
 model-index:
 - name: distilhubert-finetuned-gtzan
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: GTZAN
-      type: marsyas/gtzan
-      config: all
-      split: train
-      args: all
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.85
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilhubert-finetuned-gtzan
 
-This model is a fine-tuned version of [NicolasDenier/distilhubert-finetuned-gtzan](https://huggingface.co/NicolasDenier/distilhubert-finetuned-gtzan) on the GTZAN dataset.
+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: 0.6529
-- Accuracy: 0.85
+- eval_loss: 0.7834
+- eval_accuracy: 0.78
+- eval_runtime: 46.4733
+- eval_samples_per_second: 2.152
+- eval_steps_per_second: 0.538
+- epoch: 12.0
+- step: 1350
 
 ## Model description
 
@@ -53,30 +43,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
-- gradient_accumulation_steps: 4
+- gradient_accumulation_steps: 2
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6294        | 1.0   | 224  | 0.6803          | 0.85     |
-| 0.4995        | 2.0   | 449  | 0.6409          | 0.87     |
-| 0.3727        | 3.0   | 674  | 0.5873          | 0.87     |
-| 0.1291        | 4.0   | 899  | 0.6303          | 0.86     |
-| 0.0569        | 4.98  | 1120 | 0.6529          | 0.85     |
-
+- num_epochs: 15
 
 ### Framework versions
 
 - Transformers 4.32.0.dev0
-- Pytorch 2.0.1+cu118
+- Pytorch 2.0.1+cu117
 - Datasets 2.13.1
 - Tokenizers 0.13.3