Update README.md

README.md

@@ -18,7 +18,7 @@ model-index:
         metrics:
           - name: bleu
             type: bleu-4
-            value: 64.59
+            value: 23.13
           - name: rouge
             type: rouge-l
             value: 21.84
@@ -26,7 +26,7 @@ model-index:
 
 # Llama-3.1-8B-Instruct-Galician
 
-This model is a fine-tuned version of [models/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/models/Meta-Llama-3.1-8B-Instruct) on the [CorpusNós](https://zenodo.org/records/11655219) dataset.
+This model is a continued pretraining version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the [CorpusNós](https://zenodo.org/records/11655219) dataset.
 
 ## Model Details
 
@@ -36,21 +36,16 @@ This model is a fine-tuned version of [models/Meta-Llama-3.1-8B-Instruct](https:
 
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
+- **Developed by:** [UDC Information Retrieval Lab (IRLab)](https://huggingface.co/irlab-udc)
 - **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Language(s) (NLP):** Multilingual, adapted to Galician
+- **License:** llama3.1
+- **Finetuned from model:** [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
 
-### Model Sources [optional]
+### Model Sources
 
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** [Adapting Large Language Models for Underrepresented Languages](https://gitlab.irlab.org/eliseo.bao/xovetic-llms-underrepresented-languages)
+- **Paper:** _Coming soon_
 
 ## Uses
 
@@ -173,24 +168,16 @@ The following hyperparameters were used during training:
 #### Summary
 
 
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
 ## Environmental Impact
 
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+- **Hardware Type:** 4x NVIDIA A100 SXM4 80 GB (TDP of 400W)
+- **Hours used:** 60
+- **Cloud Provider:** Private infrastructure
+- **Carbon Emitted:** 10.37 kgCO$_2$eq
 
 ## Technical Specifications [optional]