Create README.md

README.md

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+---
+language: es
+tags:
+- T5
+- Seq2Seq
+- EconderDecoder
+- Spanish
+datasets:
+ - large_spanish_corpus
+widgets:
+- text: "Érase un vez un"
+
+license: mit
+
+---
+# Spanish T5 (small) trained on [large_spanish_corpus](https://huggingface.co/datasets/viewer/?dataset=large_spanish_corpus).
+
+This is a Spanish **T5** (small arch) trained from scratch on the [large_spanish_corpus](https://huggingface.co/datasets/viewer/?dataset=large_spanish_corpus) aka BETO's corpus with [Flax](https://github.com/google/flax)
+
+This is part of the
+[Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), organised by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google.
+## Dataset
+The dataset is about 20 GB. 95% of the data was used for training and the rest 5% for validation.
+
+## Metrics (on evaluation dataset)
+
+- Loss: 2.413
+- Perplexity: 11.36
+
+## Team members
+- Manuel Romero ([mrm8488](https://huggingface.co/mrm8488))
+- María Grandury ([mariagrandury](https://huggingface.co/))
+
+
+## Useful links
+- [Community Week timeline](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104#summary-timeline-calendar-6)
+- [Community Week README](https://github.com/huggingface/transformers/blob/master/examples/research_projects/jax-projects/README.md)
+- [Community Week thread](https://discuss.huggingface.co/t/pretrain-gpt2-from-scratch-in-spanish/7086/8)