results

This model is a fine-tuned version of paust/pko-t5-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1500

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: 0.0007
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.86	4	1.6254
No log	1.95	9	1.2538
No log	2.81	13	0.6273
No log	3.89	18	0.2634
No log	4.97	23	0.1473
No log	5.84	27	0.1497
No log	6.92	32	0.1500

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1