update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - eli5
+metrics:
+- rouge
 model-index:
 - name: t5-base-finetuned-eli5
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: eli5
+      type: eli5
+      config: LFQA_reddit
+      split: train_eli5
+      args: LFQA_reddit
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-base-finetuned-eli5
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the eli5 dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 0.0
 
 ## Model description
 
@@ -42,9 +64,16 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.0           | 1.0   | 17040 | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
+
+
 ### Framework versions
 
 - Transformers 4.22.1
 - Pytorch 1.12.1+cu113
-- Datasets 2.4.0
+- Datasets 2.5.0
 - Tokenizers 0.12.1