End of training

README.md

@@ -33,11 +33,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 4
-- eval_batch_size: 4
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
+- gradient_accumulation_steps: 2
 - total_train_batch_size: 16
 - optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -51,5 +51,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.51.3
 - Pytorch 2.6.0+cu124
-- Datasets 3.5.0
+- Datasets 3.5.1
 - Tokenizers 0.21.1

model.safetensors

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training_args.bin

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