indo-t5-base-v2

This model is a fine-tuned version of google/mt5-base on the lazarus-project/alkitab-sabda-mt dataset. It achieves the following results on the evaluation set:

• Loss: 1.5099
• Bleu: 15.1824
• Gen Len: 56.1138

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: 0.0008
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 16
• total_train_batch_size: 4096
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.3756	1.56	5000	1.5355	2.3992	18.9403
1.1295	3.11	10000	1.5099	2.543	18.9389

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.0+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2