Model save

README.md

@@ -37,7 +37,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - 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
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
 - num_epochs: 3
@@ -51,6 +51,6 @@ The following hyperparameters were used during training:
 
 - PEFT 0.14.1.dev0
 - Transformers 4.48.1
-- Pytorch 2.5.1+cu124
+- Pytorch 2.5.1+cu121
 - Datasets 3.2.1.dev0
 - Tokenizers 0.21.0