MattyB95
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AST-ASVspoof2019-Synthetic-Voice-Detection

@@ -1,199 +1,92 @@
 ---
 metrics:
 - accuracy
 ---
-# Model Card for Model ID
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 ---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
 metrics:
 - accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: AST-ASVspoof2019-Synthetic-Voice-Detection
+  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: 0.6294477539848655
+    - name: F1
+      type: f1
+      value: 0.7685655387400071
+    - name: Precision
+      type: precision
+      value: 0.8743850817984212
+    - name: Recall
+      type: recall
+      value: 0.6855938284894152
 ---
+<!-- 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. -->
+# AST-ASVspoof2019-Synthetic-Voice-Detection
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss:
+- Accuracy:
+- F1:
+- Precision:
+- Recall:
+## 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
+- num_epochs: 3.0
+### Training results
+| Training Loss                         | Epoch | Step | Validation Loss                       | Accuracy | F1     | Precision | Recall |
+|:-------------------------------------:|:-----:|:----:|:-------------------------------------:|:--------:|:------:|:---------:|:------:|
+|  | 1.0   |  |  |    |  |     |  |
+|  | 2.0   |  |  |    |  |     |  |
+|  | 3.0   |  |  |    |  |     |  |
+### Framework versions
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.0