Update README.md

README.md

@@ -10,6 +10,24 @@ tags:
 - lora
 - t5
 - flan
+metrics:
+- rouge
+model-index:
+- name: flan-t5-xxl-samsum-peft
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: train
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 50.386161
 ---
 
 # FLAN-T5-XXL LoRA fine-tuned on `samsum`
@@ -21,12 +39,11 @@ PEFT tuned FLAN-T5 XXL model.
 
 This model is a fine-tuned version of [philschmid/flan-t5-xxl-sharded-fp16](https://huggingface.co/philschmid/flan-t5-xxl-sharded-fp16) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3716
-- Rouge1: 47.2358
-- Rouge2: 23.5135
-- Rougel: 39.6266
-- Rougelsum: 43.3458
-- Gen Len: 17.3907
+
+-rogue1: 50.386161%
+-rouge2: 24.842412%
+-rougeL: 41.370130%
+-rougeLsum: 41.394230%
 
 - 
 
@@ -81,5 +98,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.1
 - Pytorch 1.13.1+cu117
 - Datasets 2.9.1
-- PEFT@main
-
+- PEFT@main