Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`facebook/m2m100_418M`](https://huggingface.co/facebook/m2m100_418M) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

README.md

@@ -1,4 +1,7 @@
 ---
+language:
+- en
+- es
 license: mit
 tags:
 - generated_from_trainer
@@ -6,12 +9,14 @@ datasets:
 - cartesinus/iva_mt_wslot
 metrics:
 - bleu
+pipeline_tag: translation
+base_model: facebook/m2m100_418M
 model-index:
 - name: iva_mt_wslot-m2m100_418M-en-es
  results:
  - task:
- name: Sequence-to-sequence Language Modeling
  type: text2text-generation
+ name: Sequence-to-sequence Language Modeling
  dataset:
  name: iva_mt_wslot
  type: iva_mt_wslot
@@ -19,13 +24,9 @@ model-index:
  split: validation
  args: en-es
  metrics:
- - name: Bleu
- type: bleu
+ - type: bleu
  value: 69.2836
-language:
-- en
-- es
-pipeline_tag: translation
+ name: Bleu
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You