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Hemg
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deeepfake-audio-Recognition-ttoo

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
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  1. README.md +19 -10
  2. model.safetensors +1 -1
  3. runs/Apr01_11-39-51_3b2e8eea51ac/events.out.tfevents.1711971592.3b2e8eea51ac.900.8 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9090909090909091
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3088
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- - Accuracy: 0.9091
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  ## Model description
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@@ -65,13 +65,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6466 | 1.0 | 33 | 0.6022 | 0.7273 |
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- | 0.4525 | 2.0 | 66 | 0.4029 | 0.8030 |
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- | 0.3424 | 3.0 | 99 | 0.3294 | 0.8485 |
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- | 0.2704 | 4.0 | 132 | 0.2043 | 0.9242 |
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- | 0.1414 | 5.0 | 165 | 0.4454 | 0.8333 |
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- | 0.2364 | 6.0 | 198 | 0.8511 | 0.7727 |
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- | 0.1317 | 7.0 | 231 | 0.3088 | 0.9091 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9545454545454546
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2288
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+ - Accuracy: 0.9545
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6417 | 1.0 | 33 | 0.5774 | 0.7879 |
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+ | 0.4818 | 2.0 | 66 | 0.3792 | 0.8485 |
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+ | 0.2756 | 3.0 | 99 | 0.3066 | 0.8788 |
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+ | 0.3106 | 4.0 | 132 | 0.1951 | 0.9545 |
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+ | 0.2138 | 5.0 | 165 | 0.2078 | 0.9394 |
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+ | 0.0988 | 6.0 | 198 | 0.3227 | 0.9091 |
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+ | 0.1043 | 7.0 | 231 | 0.2893 | 0.9394 |
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+ | 0.0808 | 8.0 | 264 | 0.2177 | 0.9545 |
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+ | 0.1312 | 9.0 | 297 | 0.2846 | 0.9091 |
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+ | 0.0667 | 10.0 | 330 | 0.1955 | 0.9545 |
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+ | 0.0513 | 11.0 | 363 | 0.2553 | 0.9545 |
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+ | 0.0217 | 12.0 | 396 | 0.1708 | 0.9545 |
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+ | 0.0136 | 13.0 | 429 | 0.1641 | 0.9545 |
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+ | 0.0236 | 14.0 | 462 | 0.2203 | 0.9545 |
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+ | 0.0097 | 15.0 | 495 | 0.2253 | 0.9545 |
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+ | 0.003 | 16.0 | 528 | 0.2288 | 0.9545 |
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  ### Framework versions
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