LazarusNLP/IndoNanoT5-base-XPersona

This model is a fine-tuned version of LazarusNLP/IndoNanoT5-base on the indonlg dataset. It achieves the following results on the evaluation set:

• Loss: 1.8372
• Bleu: 4.0669
• Sacrebleu: 4.0669

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: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Sacrebleu
1.9872	1.0	15516	1.8482	3.7015	3.7015
1.888	2.0	31032	1.8434	4.0409	4.0409
1.8207	3.0	46548	1.8347	4.1239	4.1239
1.7716	4.0	62064	1.8340	4.3231	4.3231
1.6948	5.0	77580	1.8443	4.4283	4.4283
1.6442	6.0	93096	1.8563	4.5338	4.5338
1.5856	7.0	108612	1.8782	4.3033	4.3033
1.5451	8.0	124128	1.8930	4.3286	4.3286
1.5056	9.0	139644	1.9207	4.2773	4.2773
1.446	10.0	155160	1.9406	4.0629	4.0629
1.406	11.0	170676	1.9636	4.1382	4.1382

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu118
• Datasets 2.16.1
• Tokenizers 0.15.1