End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- augmented_bass_sounds
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-bass9
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: TheDuyx/augmented_bass_sounds
+      type: augmented_bass_sounds
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9994121105232217
+---
+
+<!-- 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-bass9
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the TheDuyx/augmented_bass_sounds dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0024
+- Accuracy: 0.9994
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0433        | 1.0   | 382  | 0.0492          | 0.9877   |
+| 0.0022        | 2.0   | 765  | 0.0061          | 0.9982   |
+| 0.0013        | 2.99  | 1146 | 0.0024          | 0.9994   |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2