long_ke_t5_finetuned_wiki_lingua

This model is a fine-tuned version of KETI-AIR-Downstream/long-ke-t5-base-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.2019

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
3.8606	1.0	4193	3.3498
3.4635	2.0	8386	3.2485
3.4019	3.0	12579	3.2111
3.3802	4.0	16772	3.2019

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0