Update README.md

README.md

@@ -10,6 +10,10 @@ metrics:
 model-index:
 - name: gec-flan-t5-large
   results: []
+datasets:
+- 512duncanl/c4_200m_cleaned_365k
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gec-flan-t5-large
 
-This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on [512duncanl/c4_200m_cleaned_365k](https://huggingface.co/datasets/512duncanl/c4_200m_cleaned_365k), a cleaned subset of Google's [C4 200M](https://huggingface.co/datasets/liweili/c4_200m).
 It achieves the following results on the evaluation set:
 - Loss: 0.2685
 - F0.5: 0.3635
@@ -63,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 4.53.2
 - Pytorch 2.7.1+cu128
 - Datasets 4.0.0
-- Tokenizers 0.21.2
+- Tokenizers 0.21.2