End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: meta-llama/Meta-Llama-3.1-8B
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 library_name: peft
 license: llama3.1
 tags:
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
 
 ## Model description
 
@@ -42,7 +42,7 @@ 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_steps: 100
-- num_epochs: 1
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results

adapter_config.json

@@ -1,7 +1,7 @@
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   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

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training_args.bin

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