ToBeOrNotToBE

This model is a fine-tuned version of KETI-AIR/ke-t5-base-ko on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 39.4877

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	265	84.3180
127.3935	2.0	530	61.3429
127.3935	3.0	795	46.6663
56.6333	4.0	1060	41.3475
56.6333	5.0	1325	39.4877

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.0
• Datasets 3.0.2
• Tokenizers 0.20.1