Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-960h-heart-sounds
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8673780487804879
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vldmrl-org/HeartDiseaseDetector/runs/7tntog3e)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vldmrl-org/HeartDiseaseDetector/runs/7tntog3e)
+# wav2vec2-base-960h-heart-sounds
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3595
+- Accuracy: 0.8674
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.9791        | 1.0    | 83   | 0.9290          | 0.5442   |
+| 0.6532        | 2.0    | 166  | 0.5495          | 0.8186   |
+| 0.5202        | 3.0    | 249  | 0.4569          | 0.8216   |
+| 0.4421        | 4.0    | 332  | 0.4378          | 0.8399   |
+| 0.4144        | 5.0    | 415  | 0.3853          | 0.8765   |
+| 0.4213        | 6.0    | 498  | 0.3835          | 0.8537   |
+| 0.3819        | 7.0    | 581  | 0.3647          | 0.8674   |
+| 0.3994        | 7.9119 | 656  | 0.3595          | 0.8674   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.0.1+cu118
+- Datasets 3.3.2
+- Tokenizers 0.21.0

model.safetensors

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