Model save

README.md

@@ -38,12 +38,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 3
+- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 6
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- total_train_batch_size: 2
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
 - num_epochs: 3
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - PEFT 0.13.2
-- Transformers 4.45.2
-- Pytorch 2.4.1+cu121
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu121
 - Datasets 3.0.2
 - Tokenizers 0.20.1

runs/Oct27_14-48-59_c13829df2d8a/events.out.tfevents.1730040550.c13829df2d8a.1511.0

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+size 6877