update readme.md

README.md

@@ -16,21 +16,22 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetune_starcoder2_with_R_data
 
-This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown dataset.
+This model is a variant of the bigcode/starcoder2-3b architecture, adapted and fine-tuned specifically for generating R programming code.
 
 ## Model description
 
-More information needed
+Model is
 
 ## Intended uses & limitations
 
-More information needed
+Tailored for R programming tasks, this model is optimized for generating code snippets, functions, or scripts in the R language. Its limitations may include its applicability solely within the domain of R programming and potential constraints related to the size and diversity of the training data.
 
 ## Training and evaluation data
 
-More information needed
+The model was trained and evaluated on a subset of the bigcode/Stack dataset containing R programming language data. 
 
 ## Training procedure
+Fine-tuning was performed using the PEFT (Parameter Efficient Fine Tuning) method over 1000 epochs on the R dataset. Additionally, the model was loaded with 4-bit quantization using the LoRA library to optimize memory usage and inference speed, enhancing its efficiency for generating R code.
 
 ### Training hyperparameters
 
@@ -46,10 +47,7 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 100
 - training_steps: 1000
 - mixed_precision_training: Native AMP
-
-### Training results
-
-
+=
 
 ### Framework versions