t5_large-qg-ap-nopeft

This model is a fine-tuned version of unicamp-dl/ptt5-large-t5-vocab on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:

• Loss: 1.1994

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.1714	1.0	808	1.2385
1.0782	2.0	1616	1.2066
1.0064	3.0	2424	1.1994
0.9555	4.0	3232	1.2031
0.9261	5.0	4040	1.2048

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0