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LLaMA3-PoE-ER-FINAL-MODEL-SNLI

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au123 commited on Aug 23

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@@ -36,12 +36,12 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
 - gradient_accumulation_steps: 10
-- total_train_batch_size: 10
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03

 The following hyperparameters were used during training:
 - learning_rate: 2e-05
+- train_batch_size: 3
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
 - gradient_accumulation_steps: 10
+- total_train_batch_size: 30
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03