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Hemg
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small-deepfake

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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  1. README.md +7 -16
  2. model.safetensors +1 -1
  3. runs/Mar28_03-33-28_5923093c863b/events.out.tfevents.1711596809.5923093c863b.1521.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7417
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  - Accuracy: 0.3
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  ## Model description
@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,25 +46,16 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 16
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.8 | 2 | 0.7128 | 0.3 |
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- | No log | 2.0 | 5 | 0.7450 | 0.3 |
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- | No log | 2.8 | 7 | 0.7814 | 0.3 |
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- | 0.6885 | 4.0 | 10 | 0.8762 | 0.3 |
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- | 0.6885 | 4.8 | 12 | 0.7284 | 0.3 |
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- | 0.6885 | 6.0 | 15 | 0.7457 | 0.3 |
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- | 0.6885 | 6.8 | 17 | 0.7277 | 0.3 |
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- | 0.6925 | 8.0 | 20 | 0.7421 | 0.3 |
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- | 0.6925 | 8.8 | 22 | 0.7391 | 0.3 |
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- | 0.6925 | 10.0 | 25 | 0.7539 | 0.3 |
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- | 0.6925 | 10.8 | 27 | 0.7482 | 0.3 |
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- | 0.6897 | 12.0 | 30 | 0.7440 | 0.3 |
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- | 0.6897 | 12.8 | 32 | 0.7417 | 0.3 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8395
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  - Accuracy: 0.3
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.8 | 2 | 0.7376 | 0.3 |
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+ | No log | 2.0 | 5 | 0.7560 | 0.3 |
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+ | No log | 2.8 | 7 | 0.8433 | 0.3 |
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+ | No log | 3.2 | 8 | 0.8395 | 0.3 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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