results_packing

ananyarn/results_packing

results_packing is a machine learning model from ananyarn. 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 apache-2.0.

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: apache-2.0
Access: Public
Created: Feb 8, 2024
Updated: Mar 1, 2024
SHA: 08cbe162

Base models

TheBloke/Mistral-7B-Instruct-v0.1-GPTQ

Datasets

generator

Model card

From the Hugging Face model README

results_packing

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.5551

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.8415	0.08	50	0.6991
0.6472	0.17	100	0.6063
0.5802	0.25	150	0.5596
0.5499	0.33	200	0.5551

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: Feb 8, 2024
Updated: Mar 1, 2024