End of training

README.md

@@ -1,28 +1,13 @@
 ---
 license: apache-2.0
-base_model: ntu-spml/distilhubert
+base_model: not-lain/distilhubert-finetuned-gtzan
 tags:
 - generated_from_trainer
 datasets:
-- marsyas/gtzan
-metrics:
-- accuracy
+- gtzan
 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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
+This model is a fine-tuned version of [not-lain/distilhubert-finetuned-gtzan](https://huggingface.co/not-lain/distilhubert-finetuned-gtzan) on the gtzan dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5801
-- Accuracy: 0.85
+- eval_loss: 0.5900
+- eval_accuracy: 0.88
+- eval_runtime: 49.645
+- eval_samples_per_second: 2.014
+- eval_steps_per_second: 0.262
+- epoch: 1.0
+- step: 113
 
 ## Model description
 
@@ -59,26 +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: 11
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0115        | 1.0   | 113  | 1.8258          | 0.5      |
-| 1.3108        | 2.0   | 226  | 1.1814          | 0.64     |
-| 1.0318        | 3.0   | 339  | 0.9287          | 0.75     |
-| 0.8711        | 4.0   | 452  | 0.8692          | 0.74     |
-| 0.5744        | 5.0   | 565  | 0.6895          | 0.79     |
-| 0.3243        | 6.0   | 678  | 0.6500          | 0.78     |
-| 0.3846        | 7.0   | 791  | 0.5873          | 0.81     |
-| 0.1419        | 8.0   | 904  | 0.5719          | 0.83     |
-| 0.2204        | 9.0   | 1017 | 0.5105          | 0.83     |
-| 0.054         | 10.0  | 1130 | 0.6217          | 0.85     |
-| 0.035         | 11.0  | 1243 | 0.5801          | 0.85     |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

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runs/Jan26_19-19-32_f2d5f3972d19/events.out.tfevents.1706296781.f2d5f3972d19.217.1

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