Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: deeepfake-audio-555
+  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: 0.9247311827956989
+---
+
+<!-- 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-555
+
+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: 0.4156
+- Accuracy: 0.9247
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6428        | 1.0   | 46   | 0.6271          | 0.7204   |
+| 0.4622        | 2.0   | 92   | 0.4054          | 0.8602   |
+| 0.3098        | 3.0   | 138  | 0.5667          | 0.8172   |
+| 0.2696        | 4.0   | 184  | 0.4179          | 0.8817   |
+| 0.2806        | 5.0   | 230  | 0.4129          | 0.8710   |
+| 0.2078        | 6.0   | 276  | 0.3541          | 0.9140   |
+| 0.1652        | 7.0   | 322  | 0.3338          | 0.9140   |
+| 0.0871        | 8.0   | 368  | 0.4072          | 0.9140   |
+| 0.1267        | 9.0   | 414  | 0.3649          | 0.9247   |
+| 0.0651        | 10.0  | 460  | 0.3436          | 0.9355   |
+| 0.0976        | 11.0  | 506  | 0.4163          | 0.9140   |
+| 0.0186        | 12.0  | 552  | 0.4164          | 0.9247   |
+| 0.0324        | 13.0  | 598  | 0.4156          | 0.9247   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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runs/Apr13_01-56-55_7e8ef757c74e/events.out.tfevents.1712973417.7e8ef757c74e.1465.0

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