nmt-mpst-id-en-lr_0.001-ep_20-seq_128_bs-16 – AI Model by meongracun | AlphaNeural AI

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meongracun/
nmt-mpst-id-en-lr_0.001-ep_20-seq_128_bs-16

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text2text-generation

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nmt-mpst-id-en-lr_0.001-ep_20-seq_128_bs-16

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9735
Bleu: 0.2017
Meteor: 0.3744

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: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor
No log	1.0	404	2.0539	0.1063	0.2561
2.5624	2.0	808	1.7616	0.1363	0.2966
1.7817	3.0	1212	1.6548	0.1612	0.325
1.4215	4.0	1616	1.6071	0.1725	0.3388
1.2099	5.0	2020	1.5886	0.1841	0.3517
1.2099	6.0	2424	1.5992	0.1882	0.3571
1.0117	7.0	2828	1.5909	0.1892	0.358
0.878	8.0	3232	1.6242	0.1947	0.3652
0.7881	9.0	3636	1.6626	0.197	0.3673
0.6932	10.0	4040	1.6918	0.196	0.3679
0.6932	11.0	4444	1.7347	0.1956	0.3683
0.6069	12.0	4848	1.7718	0.2008	0.3711
0.5426	13.0	5252	1.8005	0.2011	0.372
0.4946	14.0	5656	1.8383	0.201	0.3732
0.4414	15.0	6060	1.8713	0.2031	0.3743
0.4414	16.0	6464	1.9040	0.2025	0.3748
0.4039	17.0	6868	1.9381	0.202	0.3736
0.3661	18.0	7272	1.9497	0.2006	0.3732
0.3424	19.0	7676	1.9680	0.2009	0.3744
0.3253	20.0	8080	1.9735	0.2017	0.3744

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2