nmt-mpst-id-en-lr_0.0001-ep_20-seq_128_bs-16 – AI Model by meongracun | AlphaNeural AI

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meongracun/
nmt-mpst-id-en-lr_0.0001-ep_20-seq_128_bs-16

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text2text-generation

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nmt-mpst-id-en-lr_0.0001-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: 1.8531
Bleu: 0.1306
Meteor: 0.2859

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: 0.0001
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	2.7171	0.0374	0.14
3.1222	2.0	808	2.4821	0.0519	0.1723
2.7305	3.0	1212	2.3370	0.0663	0.1983
2.4848	4.0	1616	2.2469	0.0771	0.2158
2.3394	5.0	2020	2.1567	0.0857	0.227
2.3394	6.0	2424	2.1038	0.0919	0.2369
2.2007	7.0	2828	2.0403	0.0973	0.2449
2.1027	8.0	3232	2.0105	0.1066	0.2554
2.0299	9.0	3636	1.9725	0.1105	0.2606
1.9568	10.0	4040	1.9515	0.1147	0.2655
1.9568	11.0	4444	1.9274	0.118	0.2699
1.8986	12.0	4848	1.9142	0.1215	0.2739
1.8512	13.0	5252	1.8936	0.1243	0.2777
1.8258	14.0	5656	1.8841	0.1254	0.279
1.7854	15.0	6060	1.8792	0.1278	0.2827
1.7854	16.0	6464	1.8662	0.1274	0.2818
1.7598	17.0	6868	1.8604	0.1293	0.2834
1.7436	18.0	7272	1.8598	0.13	0.2849
1.7299	19.0	7676	1.8545	0.1308	0.2857
1.7168	20.0	8080	1.8531	0.1306	0.2859

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2