End of training

README.md

@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 5
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -52,7 +52,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.11.2.dev0
-- Transformers 4.42.0.dev0
+- PEFT 0.11.1
+- Transformers 4.41.0
 - Pytorch 2.3.0+cu121
+- Datasets 2.19.1
 - Tokenizers 0.19.1

adapter_model.safetensors

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runs/May27_20-31-26_9efa7d93e5fc/events.out.tfevents.1716842023.9efa7d93e5fc.2718.0

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