Model save

README.md

@@ -1,9 +1,8 @@
 ---
-base_model: meta-llama/Meta-Llama-3-8B
+base_model: hivaze/ParaLex-Llama-3-8B-SFT
 datasets:
 - generator
 library_name: peft
-license: llama3
 tags:
 - generated_from_trainer
 model-index:
@@ -16,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results_packing
 
-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 generator dataset.
+This model is a fine-tuned version of [hivaze/ParaLex-Llama-3-8B-SFT](https://huggingface.co/hivaze/ParaLex-Llama-3-8B-SFT) on the generator dataset.
 
 ## Model description
 
@@ -43,7 +42,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 17
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 8
+- num_epochs: 32
 
 ### Training results