Update README.md
Browse files
README.md
CHANGED
|
@@ -3,6 +3,7 @@ license: apache-2.0
|
|
| 3 |
language:
|
| 4 |
- pt
|
| 5 |
base_model: mistralai/Mistral-7B-v0.3
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |
# MED-LLM-BR: A Large Language Model for Clinical Text Generation in Portuguese
|
|
@@ -17,4 +18,4 @@ To enhance memory efficiency and reduce computational demands, we implemented Lo
|
|
| 17 |
The fine-tuning of Clinical-BR-Mistral-7B-v0.2 utilized 2.4GB of text from three clinical datasets. The SemClinBr project provided diverse clinical narratives from Brazilian hospitals, while the BRATECA dataset contributed admission notes from various departments in 10 hospitals. Additionally, data from Lopes et al., 2019, added neurology-focused texts from European Portuguese medical journals. These datasets collectively improved the model’s ability to generate accurate clinical notes in Portuguese.
|
| 18 |
|
| 19 |
|
| 20 |
-
## Citation
|
|
|
|
| 3 |
language:
|
| 4 |
- pt
|
| 5 |
base_model: mistralai/Mistral-7B-v0.3
|
| 6 |
+
pipeline_tag: text-generation
|
| 7 |
---
|
| 8 |
|
| 9 |
# MED-LLM-BR: A Large Language Model for Clinical Text Generation in Portuguese
|
|
|
|
| 18 |
The fine-tuning of Clinical-BR-Mistral-7B-v0.2 utilized 2.4GB of text from three clinical datasets. The SemClinBr project provided diverse clinical narratives from Brazilian hospitals, while the BRATECA dataset contributed admission notes from various departments in 10 hospitals. Additionally, data from Lopes et al., 2019, added neurology-focused texts from European Portuguese medical journals. These datasets collectively improved the model’s ability to generate accurate clinical notes in Portuguese.
|
| 19 |
|
| 20 |
|
| 21 |
+
## Citation
|