Update README.md

README.md

@@ -5,20 +5,21 @@ tags:
 metrics:
 - rouge
 model-index:
-- name: bart-base-fleece2instructions-codealpaca-r1
+- name: bart-base-code-instructiongen
   results: []
 inference:
   parameters:
     max_length: 128
     num_beams: 4
+
 ---
 
 <!-- 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. -->
 
-# bart-base-fleece2instructions-codealpaca-r1
+# bart-base-code-instructiongen
 
-This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the `pszemraj/fleece2instructions-codealpaca` dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0136
 - Rouge1: 59.9513
@@ -37,7 +38,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+Refer to `pszemraj/fleece2instructions-codealpaca`
 
 ## Training procedure
 
@@ -70,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.0.dev0
 - Pytorch 2.0.0.dev20230212+cu118
 - Datasets 2.9.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2