Model save

README.md

@@ -7,14 +7,14 @@ tags:
 - generated_from_trainer
 base_model: meta-llama/Meta-Llama-3-8B
 model-index:
-- name: llama3-8b-sft-qlora-regex_v230524
+- name: llama3-8b-sft-qlora-regex_v240524
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# llama3-8b-sft-qlora-regex_v230524
+# llama3-8b-sft-qlora-regex_v240524
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 3443619040

runs/May23_16-27-33_64839bc3f24a/events.out.tfevents.1716481699.64839bc3f24a.1709.0

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