metadata

license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
  - name: WeniGPT-QA-Zephyr-7B-3.0.0-SFT
    results: []

WeniGPT-QA-Zephyr-7B-3.0.0-SFT

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2232

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 96
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2815	1.52	50	1.2712

Framework versions

PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.1.0+cu118
Datasets 2.18.0
Tokenizers 0.15.2