res_nw_irq_03

nlparabic/res_nw_irq_03

res_nw_irq_03 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. --

Downloads · 30 days

12% of all-time downloads

All-time downloads

Public

Parameters

369M

7.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.5 GB · 100%

At a glance

License: apache-2.0
Model type: gpt2
Access: Public
Created: Sep 1, 2024
Updated: Sep 1, 2024
SHA: c05e2864

Base models

riotu-lab/ArabianGPT-03B

Model card

From the Hugging Face model README

res_nw_irq_03

This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9735
Bleu: 0.3759
Rouge1: 0.5621
Rouge2: 0.3073
Rougel: 0.5603

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
1.1923	1.0	1057	0.9735	0.3759	0.5621	0.3073	0.5603
0.3956	2.0	2114	1.2529	0.4146	0.6342	0.3777	0.6330
0.2578	3.0	3171	1.1432	0.4178	0.6356	0.3887	0.6341
0.1771	4.0	4228	1.3314	0.4209	0.6564	0.4083	0.6546
0.1337	5.0	5285	1.3444	0.4256	0.6508	0.4061	0.6495
0.1118	6.0	6342	1.3693	0.4248	0.6534	0.4079	0.6523

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: Sep 1, 2024
Updated: Sep 1, 2024