Model save

README.md

@@ -37,16 +37,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 8
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
 - num_epochs: 3
-- mixed_precision_training: Native AMP
 
 ### Training results
 

adapter_model.safetensors

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runs/Feb23_22-33-37_84ac7c29600b/events.out.tfevents.1708727682.84ac7c29600b.368.0

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