Update README.md

README.md

@@ -9,47 +9,9 @@ base_model: meta-llama/Meta-Llama-3-8B-Instruct
 model-index:
 - name: rag-tge_Llama-3-8B_LoRA
   results: []
+datasets:
+- tdolega/rag-tge_finetuning-dataset
+language:
+- en
 ---
-
-<!-- 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. -->
-
-# rag-tge_Llama-3-8B_LoRA
-
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 50
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
-
-### Framework versions
-
-- PEFT 0.10.0
-- Transformers 4.40.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+[Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) finetuned on [rag-tge_finetuning-dataset](https://huggingface.co/datasets/tdolega/rag-tge_finetuning-dataset).for [rag-tge](https://github.com/tdolega/rag-tge) project.