mbart50-qg-aas

This model is a fine-tuned version of facebook/mbart-large-50 on the tiagoblima/qg_squad_v1_pt dataset. It achieves the following results on the evaluation set:

• Loss: 5.1971

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: 0.005
• train_batch_size: 64
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
7.1258	1.0	808	8.0165
5.7857	2.0	1616	7.2193
4.6138	3.0	2424	6.4846
3.6997	4.0	3232	5.7332
3.0051	5.0	4040	5.1971

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0