Update README.md

README.md

@@ -1,46 +1,23 @@
 ---
 tags:
 - generated_from_trainer
-model-index:
-- name: tmp_trainer
-  results: []
+license: mit
 ---
 
-<!-- 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. -->
+# mMiniLMv2-L6-H384
 
-# tmp_trainer
+This model is a re-upload of Microsoft's Multilingual [MiniLM v2](https://arxiv.org/abs/2012.15828) to HuggingFace under the MIT License, made more accessible for use through the HuggingFace transformers library.
 
-This model was trained from scratch on an unknown dataset.
+The original pre-trained model is provided at the following URL:
 
-## Model description
+- https://1drv.ms/u/s!AjHn0yEmKG8qiyC4-L624EmV2i7z
 
-More information needed
+# License
 
-## Intended uses & limitations
+The license for this model is based on the original license (found in the LICENSE file in the project's root directory), which is the MIT License.
 
-More information needed
+- https://github.com/microsoft/unilm/tree/master/minilm
 
-## Training and evaluation data
+# Attribution
 
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Framework versions
-
-- Transformers 4.37.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.17.1
-- Tokenizers 0.15.2
+All credits for this model go to the authors of Multilingual MiniLM v2 and the associated researchers and organizations. When using this model, please be sure to attribute the original authors.