Model save

README.md

@@ -36,15 +36,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 3
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 8
-- total_train_batch_size: 24
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
@@ -54,6 +54,6 @@ The following hyperparameters were used during training:
 
 - PEFT 0.13.0
 - Transformers 4.45.1
-- Pytorch 2.5.0+cu121
+- Pytorch 2.4.0
 - Datasets 3.0.1
-- Tokenizers 0.20.1
+- Tokenizers 0.20.0

adapter_model.safetensors

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runs/Nov08_06-55-47_863353abc655/events.out.tfevents.1731048951.863353abc655.30.2

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