Update README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 tags:
 - generated_from_trainer
 datasets:
-- iva_mt_wslot2
+- cartesinus/iva_mt_wslot
 metrics:
 - bleu
 model-index:
@@ -13,8 +13,8 @@ model-index:
       name: Sequence-to-sequence Language Modeling
       type: text2text-generation
     dataset:
-      name: iva_mt_wslot2
-      type: iva_mt_wslot2
+      name: iva_mt_wslot
+      type: iva_mt_wslot
       config: en-es
       split: validation
       args: en-es
@@ -22,6 +22,9 @@ model-index:
     - name: Bleu
       type: bleu
       value: 69.2836
+language:
+- en
+- es
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # iva_mt_wslot-m2m100_418M-en-es
 
-This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the iva_mt_wslot2 dataset.
+This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the iva_mt_wslot dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0115
 - Bleu: 69.2836
@@ -79,4 +82,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.1
 - Pytorch 2.0.0+cu118
 - Datasets 2.11.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3