nmt-mpst-id-en-lr_1e-05-ep_20-seq_128_bs-16 – AI Model by meongracun | AlphaNeural AI

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meongracun/
nmt-mpst-id-en-lr_1e-05-ep_20-seq_128_bs-16

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nmt-mpst-id-en-lr_1e-05-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: 2.6902
Bleu: 0.039
Meteor: 0.144

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: 1e-05
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	3.1126	0.0197	0.0888
3.6037	2.0	808	2.9899	0.0254	0.108
3.2835	3.0	1212	2.9337	0.0275	0.1129
3.1798	4.0	1616	2.8926	0.0284	0.1152
3.1361	5.0	2020	2.8638	0.0295	0.1196
3.1361	6.0	2424	2.8362	0.0305	0.1222
3.0848	7.0	2828	2.8137	0.0321	0.1266
3.0439	8.0	3232	2.7928	0.0327	0.1284
3.025	9.0	3636	2.7754	0.0337	0.1311
2.9891	10.0	4040	2.7604	0.0348	0.134
2.9891	11.0	4444	2.7469	0.0354	0.136
2.9706	12.0	4848	2.7343	0.036	0.1372
2.9537	13.0	5252	2.7250	0.0365	0.1387
2.9471	14.0	5656	2.7152	0.0375	0.1408
2.9274	15.0	6060	2.7081	0.038	0.142
2.9274	16.0	6464	2.7021	0.0384	0.143
2.9147	17.0	6868	2.6966	0.0387	0.1433
2.9093	18.0	7272	2.6934	0.0389	0.1438
2.9082	19.0	7676	2.6906	0.039	0.1437
2.8945	20.0	8080	2.6902	0.039	0.144

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2