End of training

README.md

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+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- HareemFatima/stutteringdetection
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-stutteringdetection
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: stuttering
+      type: HareemFatima/stutteringdetection
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9024390243902439
+---
+
+<!-- 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-finetuned-stutteringdetection
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the stuttering dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5717
+- Accuracy: 0.9024
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8357        | 1.0   | 92   | 0.7812          | 0.8659   |
+| 0.2951        | 2.0   | 184  | 0.3680          | 0.8902   |
+| 0.097         | 3.0   | 276  | 0.4000          | 0.8659   |
+| 0.0872        | 4.0   | 368  | 0.3953          | 0.9024   |
+| 0.4557        | 5.0   | 460  | 0.4904          | 0.9024   |
+| 0.0368        | 6.0   | 552  | 0.4972          | 0.9024   |
+| 0.0074        | 7.0   | 644  | 0.5408          | 0.9146   |
+| 0.0039        | 8.0   | 736  | 0.5460          | 0.9024   |
+| 0.0036        | 9.0   | 828  | 0.5684          | 0.9024   |
+| 0.0035        | 10.0  | 920  | 0.5717          | 0.9024   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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