End of training

README.md

@@ -37,7 +37,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 30
 - training_steps: 50
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - PEFT 0.14.0
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0