Update README.md

README.md

@@ -3,16 +3,19 @@ base_model: meta-llama/Llama-2-7b-hf
 tags:
 - generated_from_trainer
 model-index:
-- name: results
+- name: W3bsurf/llawma-sum-2-7b
   results: []
+datasets:
+- dreamproit/bill_summary_us
+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. -->
+
 
 # results
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the bill_summary_us dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6796
 
@@ -22,8 +25,7 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
-
+Summarizing law texts. Language is limited to english.
 ## Training and evaluation data
 
 More information needed
@@ -57,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0