metadata

library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - ultrachat_200k/data
base_model: Mistral-7B-Instruct-v0.1
model-index:
  - name: zephyr-7b-sft-qlora
    results: []

zephyr-7b-sft-qlora

This model is a fine-tuned version of Mistral-7B-Instruct-v0.1 on the /mntcephfs/lab_data/chennuo/MEAL/models/ultrachat_200k/data dataset. It achieves the following results on the evaluation set:

Loss: 1.0257

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: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.9852	1.0	33490	1.0257

Framework versions

PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1