Hemg
/

small-deepfake

Audio Classification

Generated from Trainer

Inference Endpoints

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Hemg commited on Mar 28

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ca32684

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1 Parent(s): 5544b1e

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README.md +4 -4

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@@ -33,11 +33,11 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 16
-- eval_batch_size: 16
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 1    | 0.6991          | 0.4      |
 ### Framework versions

 The following hyperparameters were used during training:
 - learning_rate: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - gradient_accumulation_steps: 4
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.6997          | 0.35     |
 ### Framework versions