results_fixed

nlparabic/results_fixed

results_fixed 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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Hugging Face

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At a glance

License: apache-2.0
Model type: gpt2
Access: Public
Created: Aug 25, 2024
Updated: Aug 25, 2024
SHA: ba34950c

Base models

riotu-lab/ArabianGPT-01B

Model card

From the Hugging Face model README

results_fixed

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: 2.1411
Bleu: 0.2987
Rouge1: 0.5831
Rouge2: 0.3405
Rougel: 0.5413

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: 3.0

Training results

Training Loss	Epoch	Step	Bleu	Validation Loss	Rouge1	Rouge2	Rougel
3.9816	1.0846	500	0.2270	2.8213	0.3851	0.1625	0.3198
3.9816	2.0	922	0.2481	2.4793	0.4405	0.2030	0.3844
2.6514	3.0	1383	0.2658	2.2931	0.4828	0.2385	0.4327
2.3308	4.0	1844	0.2797	2.1801	0.5114	0.2679	0.4659
2.1322	5.0	2305	0.2886	2.1133	0.5264	0.2867	0.4852
1.9942	6.0	2766	0.2926	2.0649	0.5417	0.2993	0.5003
1.8884	7.0	3227	0.2967	2.0354	0.5529	0.3108	0.5117
1.8003	8.0	3688	0.2973	2.0164	0.5597	0.3199	0.5204
1.7305	9.0	4149	0.3053	2.0036	0.5660	0.3262	0.5266
1.6672	10.0	4610	0.3072	1.9933	0.5704	0.3319	0.5325
1.6132	11.0	5071	0.3093	1.9886	0.5737	0.3366	0.5363
1.5659	12.0	5532	0.3099	1.9834	0.5777	0.3397	0.5396
1.5659	13.0	5993	0.3117	1.9819	0.5796	0.3423	0.5418
1.5244	14.0	6454	0.3126	1.9798	0.5833	0.3452	0.5451
1.4884	15.0	6915	0.3130	1.9793	0.5832	0.3461	0.5454
1.4594	16.0	7376	0.3133	1.9800	0.5846	0.3469	0.5466
1.4361	17.0	7837	0.3151	1.9799	0.5865	0.3493	0.5485
1.4159	18.0	8298	0.3149	1.9809	0.5865	0.3495	0.5486
1.4159	19.0	8398	0.3099	2.0767	0.5858	0.3476	0.5471
1.6189	20.0	8840	0.3119	2.0654	0.5862	0.3489	0.5479

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 25, 2024
Updated: Aug 25, 2024