End of training

README.md

@@ -34,12 +34,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
+- train_batch_size: 64
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 30
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -50,5 +50,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.51.3
 - Pytorch 2.6.0+cu124
-- Datasets 3.5.0
+- Datasets 3.6.0
 - Tokenizers 0.21.1