mbart50-qg-ap-peft-oficial

This model is a fine-tuned version of facebook/mbart-large-50 on the tiagoblima/du-qg-squadv1_pt dataset. It achieves the following results on the evaluation set:

• Loss: 2.5230

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: 32
• eval_batch_size: 64
• 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
2.8113	1.0	2367	2.6544
2.5839	2.0	4734	2.5805
2.4789	3.0	7101	2.5482
2.4232	4.0	9468	2.5294
2.3971	5.0	11835	2.5230

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.1