Update README.md

README.md

@@ -86,48 +86,4 @@ special_tokens:
 
 </details><br>
 
-# army-pretraining
-
-This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 5
-- gradient_accumulation_steps: 6
-- total_train_batch_size: 60
-- total_eval_batch_size: 5
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 21
-- num_epochs: 11
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.45.1
-- Pytorch 2.3.1+cu121
-- Datasets 2.21.0
-- Tokenizers 0.20.0
+pretrained base for Mannerstral 7b, only use if you are finetuning something on top of it.