metadata

license: apache-2.0
library_name: peft
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
  - arcee-ai/sec-data-mini
model-index:
  - name: mistral-instruct-v2-sec-cpt-qlora
    results: []

mistral-instruct-v2-sec-cpt-qlora

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the arcee-ai/sec-data-mini 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.15.2