End of training

README.md

@@ -5,24 +5,9 @@ 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: 0.8
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +17,13 @@ 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 GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6148
-- Accuracy: 0.8
+- eval_loss: 0.5967
+- eval_accuracy: 0.87
+- eval_runtime: 49.7736
+- eval_samples_per_second: 2.009
+- eval_steps_per_second: 0.261
+- epoch: 10.0
+- step: 1130
 
 ## Model description
 
@@ -59,25 +49,9 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0413        | 1.0   | 113  | 1.8590          | 0.53     |
-| 1.3214        | 2.0   | 226  | 1.2312          | 0.68     |
-| 0.9391        | 3.0   | 339  | 0.9360          | 0.72     |
-| 0.8315        | 4.0   | 452  | 0.8268          | 0.78     |
-| 0.6527        | 5.0   | 565  | 0.7841          | 0.79     |
-| 0.4216        | 6.0   | 678  | 0.7038          | 0.75     |
-| 0.4168        | 7.0   | 791  | 0.6408          | 0.81     |
-| 0.1771        | 8.0   | 904  | 0.5723          | 0.83     |
-| 0.2504        | 9.0   | 1017 | 0.6049          | 0.78     |
-| 0.1745        | 10.0  | 1130 | 0.6148          | 0.8      |
-
-
 ### Framework versions
 
 - Transformers 4.35.0.dev0

pytorch_model.bin

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