Model save

README.md

@@ -32,14 +32,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 12
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 100
+- num_epochs: 2
 
 ### Training results
 

events.out.tfevents.1694186175.ef7f542c87ff.437745.0

@@ -1,3 +1,3 @@
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