res_nw_irq

nlparabic/res_nw_irq

res_nw_irq is a machine learning model from nlparabic. 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 apache-2.0.

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

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At a glance

License: apache-2.0
Model type: gpt2
Access: Public
Created: Aug 31, 2024
Updated: Sep 1, 2024
SHA: 8a5211b3

Base models

riotu-lab/ArabianGPT-01B

Model card

From the Hugging Face model README

res_nw_irq

This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0817
Bleu: 0.3500
Rouge1: 0.5071
Rouge2: 0.2486
Rougel: 0.5048

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: 5e-05
train_batch_size: 8
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: 500
num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge1	Rouge2	Rougel
1.7995	1.0	1057	1.1332	0.3157	0.4552	0.2017	0.4531
0.5906	2.0	2114	1.0817	0.3500	0.5071	0.2486	0.5048
0.484	3.0	3171	1.1038	0.3592	0.5330	0.2737	0.5303
0.4017	4.0	4228	1.1117	0.3665	0.5471	0.2915	0.5449
0.3357	5.0	5285	1.1361	0.3695	0.5552	0.3010	0.5533
0.2832	6.0	6342	1.1257	0.3721	0.5607	0.3089	0.5584
0.2404	7.0	7399	1.1581	0.3740	0.5622	0.3102	0.5600

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Type: gpt2
License: apache-2.0
Created: Aug 31, 2024
Updated: Sep 1, 2024