Update README.md

README.md

@@ -1,36 +1,39 @@
 ---
-tags:
-- generated_from_trainer
+license: cc-by-nc-4.0
 datasets:
 - BramVanroy/alpaca-dolly-dutch
+language:
+- nl
+inference: false
 model-index:
-- name: 1e-3lr+512tbs@4n4gpus80
+- name: falcon-7b-ft-alpaca-cleaned-dutch
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
 
-# 1e-3lr+512tbs@4n4gpus80
-
-This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the BramVanroy/alpaca-dolly-dutch dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2612
+# falcon-7b-ft-alpaca-dolly-dutch
 
 ## Model description
 
-More information needed
+This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the [BramVanroy/alpaca-dolly-dutch](https://huggingface.co/datasets/BramVanroy/alpaca-dolly-dutch) dataset.
+See the original [Falcon 7B model](https://huggingface.co/tiiuae/falcon-7b/) for more information, intended use, and biases.
+
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended as a (poor) baseline for Dutch generative LLMs. It by no means aims to provide SOTA performance and is specifically intended for research purposes, and an opportunity for me to test hyperparameters and stability.
+
+Importantly, the original Falcon 7B model was only trained on English and French. Therefore, Dutch generations should be taken with a massive grain of salt.
 
 ## Training and evaluation data
 
-More information needed
+Trained on the synthetic [BramVanroy/alpaca-dolly-dutch](https://huggingface.co/datasets/BramVanroy/alpaca-dolly-dutch) instruction dataset. 
+Therefore, commercial use of this model is forbidden. The model is intended for research purposes only.
 
 ## Training procedure
 
+Trained with LoRA and merged before upload. The adapters are in the `adapters` branch.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: