Update README.md

README.md

@@ -23,6 +23,13 @@ Nace en los montes Universales, en la sierra de Albarracín, sobre la rama occid
 
 This is a basic implementation of the multilingual model ["ixambert-base-cased"](https://huggingface.co/ixa-ehu/ixambert-base-cased), fine-tuned on SQuAD v1.1, that is able to answer basic factual questions in English, Spanish and Basque. This model reaches a F1 score of 89.1 on the SQuAD 1.1 dev set.
 
+**Language model**: ixambert-base-cased
+**Languages**: English, Spanish and Basque
+**Downstream task**: Extractive QA
+**Training data**: SQuAD v1.1
+**Eval data**: SQuAD v1.1
+**Infrastructure**: 1x GeForce RTX 2080
+
 ### Outputs
 
 The model outputs the answer to the question, the start and end positions of the answer in the original context, and a score for the probability for that span of text to be the correct answer. For example:
@@ -54,7 +61,6 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 ```
 batch_size = 8
 n_epochs = 3
-base_LM_model = "ixambert-base-cased"
 learning_rate = 2e-5
 optimizer = AdamW
 lr_schedule = linear