Update README.md

README.md

@@ -9,23 +9,27 @@ pipeline_tag: text-classification
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-# This model uses the Llama-3 model ("meta-llama/Meta-Llama-3-8B") fine-tuned with 4 bit quantization 
-# Parameter Efficient Fine Tuning - PEFT training, using LoRA and QLoRA adaptations for the task 
-# of Humor Recognition in Greek language.
+# This model uses the Llama-3 model ("meta-llama/Meta-Llama-3-8B") fine-tuned with 4 bit quantization Parameter Efficient Fine Tuning - PEFT training, using LoRA and QLoRA adaptations for the task of Humor Recognition in Greek language.
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 ## Model Details
 
-The model was pre-trained on Greek Humorous Dataset 
-#
+The model was pre-trained on Greek Humorous Dataset
+
+## PEFT Configs
+* Bits and bytes config for quantization - QLoRA
+* LoRA config for LoRA adaptation
+
 ## Pre-processing details
 
-The text needs to be pre-processed by removing all greek diacritics and punctuation 
-and converting all letters to lowercase
+The text needs to be pre-processed by:
+* removing all greek diacritics and punctuations 
+* converting all letters to lowercase
 
 ## Load Pretrained Model
+pad_token needs to be handle since Llama-3 pre-training doesn't have eos_token
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification