---
library_name: transformers
license: apache-2.0
base_model: alpindale/Mistral-7B-v0.2-hf
tags:
- generated_from_trainer
model-index:
- name: army-pretraining
  results: []
---


The pretrained base of the Mistrillitary model.

### 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: 6
- gradient_accumulation_steps: 6
- total_train_batch_size: 72
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 136
- num_epochs: 11

### Training results



### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1