outputs_gptq_training

ypl/outputs_gptq_training

outputs_gptq_training is a machine learning model from ypl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Feb 19, 2024
Updated: Feb 21, 2024
SHA: 91889e3f

Base models

TheBloke/zephyr-7B-beta-GPTQ

Model card

From the Hugging Face model README

outputs_gptq_training

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2808

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3461	0.01	100	0.3273
0.2884	0.01	200	0.2983
0.2665	0.02	300	0.2891
0.2841	0.03	400	0.2835
0.2649	0.03	500	0.2808

Framework versions

PEFT 0.8.2
Transformers 4.37.0.dev0
Pytorch 2.1.0.dev20230621+cu117
Datasets 2.17.0
Tokenizers 0.15.0

Library: peft
License: mit
Created: Feb 19, 2024
Updated: Feb 21, 2024