res_nw_lev_aragpt2-large – AI Model by nlparabic | AlphaNeural AI

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res_nw_lev_aragpt2-large

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aubmindlab/aragpt2-large

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res_nw_lev_aragpt2-large

This model is a fine-tuned version of aubmindlab/aragpt2-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0510
Bleu: 0.1964
Rouge1: 0.5391
Rouge2: 0.3196
Rougel: 0.5372

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: 4
eval_batch_size: 4
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
0.0936	1.0	10123	0.0602	0.0756	0.4154	0.1873	0.4125
0.0531	2.0	20246	0.0549	0.1086	0.4729	0.2428	0.4706
0.043	3.0	30369	0.0522	0.1457	0.5068	0.2846	0.5043
0.0347	4.0	40492	0.0510	0.1964	0.5391	0.3196	0.5372
0.029	5.0	50615	0.0511	0.2436	0.5627	0.3532	0.5608
0.0247	6.0	60738	0.0522	0.2849	0.5778	0.3798	0.5761
0.0218	7.0	70861	0.0531	0.3156	0.5943	0.4031	0.5925
0.0195	8.0	80984	0.0551	0.3369	0.5990	0.4135	0.5972
0.0179	9.0	91107	0.0563	0.3488	0.6067	0.4231	0.6048

Framework versions

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