Update README.md

README.md

@@ -4,17 +4,19 @@ base_model: google-t5/t5-small
 tags:
 - generated_from_trainer
 model-index:
-- name: t5-small-mrqa-plus
+- name: t5-small-mrqa
   results: []
+datasets:
+- enriquesaou/mrqa-squadded-sample
 ---
 
 <!-- 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. -->
 
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/k381y37g)
-# t5-small-mrqa-plus
+# t5-small-mrqa
 
-This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an MRQA sample.
 It achieves the following results on the evaluation set:
 - Loss: 0.8647
 
@@ -64,4 +66,4 @@ The following hyperparameters were used during training:
 - Transformers 4.42.0.dev0
 - Pytorch 2.3.0+cu121
 - Datasets 2.19.2
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1