Update README.md

README.md

@@ -35,7 +35,7 @@ sequence_len: 8192
 sample_packing: true
 pad_to_sequence_len: true
 
-wandb_project: meta-llama-8b-sql-create-context
+wandb_project: meta-llama-8b-alpacadata-br
 wandb_entity:
 wandb_watch:
 wandb_name:
@@ -81,21 +81,39 @@ special_tokens:
 
 # out-llama8b-alpaca-data-pt-br
 
-This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) on the None dataset.
+This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) on the [dominguesm/alpaca-data-pt-br](https://huggingface.co/dominguesm/alpaca-data-pt-br) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1227
 
 ## Model description
 
-More information needed
+The model is a Portuguese language understanding model designed to generate responses to a wide range of questions and prompts. It takes as input a natural language question or prompt and outputs a corresponding response.
 
-## Intended uses & limitations
+The model is trained on a dataset of 51k examples, which is a cleaned and translated version of the original Alpaca Dataset released by Stanford. The original dataset was translated to Portuguese (Brazil) to provide a more culturally and linguistically relevant resource for the Brazilian market.
 
-More information needed
+The dataset was carefully reviewed to identify and fix issues present in the original release, ensuring that the model is trained on high-quality data. The model is intended to be used in applications where a deep understanding of Portuguese language is required, such as chatbots, virtual assistants, and language translation systems.
 
-## Training and evaluation data
+## Intended uses:
 
-More information needed
+Generating responses to natural language questions and prompts in Portuguese
+
+Supporting chatbots, virtual assistants, and other conversational AI applications
+
+Enhancing language translation systems and machine translation models
+
+Providing a culturally and linguistically relevant resource for the Brazilian market
+
+## Limitations
+
+The model may not generalize well to other languages or dialects
+
+The model may not perform well on out-of-domain or unseen topics
+
+The model may not be able to handle ambiguous or open-ended prompts
+
+The model may not be able to understand nuances of regional dialects or slang
+
+The model may not be able to handle prompts that require common sense or real-world knowledge
 
 ## Training procedure