TestGEC

This model is a fine-tuned version of LazarusNLP/indo-t5-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 3.3289
• Rouge2: 0.1246
• Rougel: 3.1352
• Rougelsum: 3.1321
• Gen Len: 18.9835

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: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	4500	nan	3.3289	0.1246	3.1352	3.1321	18.9835

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1