Update README.md

README.md

@@ -4,17 +4,19 @@ base_model: VMware/roberta-base-mrqa
 tags:
 - generated_from_trainer
 model-index:
-- name: roberta-vmw-mrqa-waw
+- name: roberta-vmw-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/vqu0a6tx)
-# roberta-vmw-mrqa-waw
+# roberta-vmw-mrqa
 
-This model is a fine-tuned version of [VMware/roberta-base-mrqa](https://huggingface.co/VMware/roberta-base-mrqa) on an unknown dataset.
+This model is a fine-tuned version of [VMware/roberta-base-mrqa](https://huggingface.co/VMware/roberta-base-mrqa) on a MRQA sample.
 
 ## Model description
 
@@ -50,4 +52,4 @@ The following hyperparameters were used during training:
 - Transformers 4.42.0.dev0
 - Pytorch 2.3.0+cu121
 - Datasets 2.20.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1