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tiagoblima/
mbart50-qg-ap-peft-oficial

Name: mbart50-qg-ap-peft-oficial
Availability: InStock

safetensors

generated_from_trainer

tiagoblima/du-qg-squadv1_pt

facebook/mbart-large-50

finetune

mit

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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

tiagoblima/mbart50-qg-ap-peft-oficial

mbart50-qg-ap-peft-oficial

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tiagoblima/
mbart50-qg-ap-peft-oficial