Model save

README.md

@@ -0,0 +1,91 @@
+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: deeepfake-audio-A
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8939393939393939
+---
+
+<!-- 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. -->
+
+# deeepfake-audio-A
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5791
+- Accuracy: 0.8939
+
+## 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: 3e-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: 0.01
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.638         | 1.0   | 33   | 0.6019          | 0.7121   |
+| 0.4734        | 2.0   | 66   | 0.4665          | 0.8333   |
+| 0.4281        | 3.0   | 99   | 0.3324          | 0.8939   |
+| 0.2556        | 4.0   | 132  | 0.4255          | 0.8788   |
+| 0.196         | 5.0   | 165  | 0.4007          | 0.8939   |
+| 0.1557        | 6.0   | 198  | 0.3592          | 0.9091   |
+| 0.0951        | 7.0   | 231  | 0.4533          | 0.9091   |
+| 0.0505        | 8.0   | 264  | 0.3741          | 0.9242   |
+| 0.0475        | 9.0   | 297  | 0.7494          | 0.8333   |
+| 0.0394        | 10.0  | 330  | 0.7242          | 0.8636   |
+| 0.0034        | 11.0  | 363  | 0.7240          | 0.8636   |
+| 0.041         | 12.0  | 396  | 0.7503          | 0.8485   |
+| 0.0028        | 13.0  | 429  | 0.6365          | 0.8939   |
+| 0.0189        | 14.0  | 462  | 0.5352          | 0.9091   |
+| 0.0041        | 15.0  | 495  | 0.5700          | 0.9091   |
+| 0.0023        | 16.0  | 528  | 0.5791          | 0.8939   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/Apr07_05-22-06_d9e6642915aa/events.out.tfevents.1712467327.d9e6642915aa.479.1

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