Model save

README.md

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+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: AST-VoxCelebSpoof-Synthetic-Voice-Detection
+  results: []
+---
+
+<!-- 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-VoxCelebSpoof-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 None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 89136693248.0
+- Accuracy: 0.9999
+- F1: 0.9999
+- Precision: 1.0
+- Recall: 0.9998
+
+## 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 |
+|:-----------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 2218896740319.232 | 1.0   | 29527 | 611463921664.0  | 0.9998   | 0.9998 | 0.9999    | 0.9997 |
+| 522149441830.912  | 2.0   | 59054 | 284563668992.0  | 0.9997   | 0.9997 | 0.9999    | 0.9996 |
+| 0.0               | 3.0   | 88581 | 89136693248.0   | 0.9999   | 0.9999 | 1.0       | 0.9998 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.15.0