gpt2-alpaca-instruction-fine-tuning-qlora

santis2/gpt2-alpaca-instruction-fine-tuning-qlora

gpt2-alpaca-instruction-fine-tuning-qlora is a machine learning model from santis2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

Downloads · 30 days

Access

Public

Updated Oct 2, 2023

Repo size

2.5 MB

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Public

Hugging Face

Repo makeup

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.json2.9 MB · 69%

At a glance

License: mit
Access: Public
Created: Oct 2, 2023
Updated: Oct 2, 2023
SHA: 638fc26f

Base models

Model card

From the Hugging Face model README

gpt2-alpaca-instruction-fine-tuning-qlora

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8330

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.1183	0.11	1000	1.8975
2.1329	0.22	2000	1.8818
2.1179	0.33	3000	1.8770
2.0949	0.44	4000	1.8662
2.0871	0.55	5000	1.8477
2.0668	0.66	6000	1.8447
2.0636	0.77	7000	1.8379
2.0442	0.88	8000	1.8311
2.0597	0.99	9000	1.8330

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

License: mit
Created: Oct 2, 2023
Updated: Oct 2, 2023