global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2

victorAtl/global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2

global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2 is a question answering model from victorAtl. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Dec 20, 2022
Updated: Dec 20, 2022
SHA: 1bb549ef

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Model card

From the Hugging Face model README

global_ep5_bertsqv1pptbased_ctxpar_punct_sqv2

This model is a fine-tuned version of pierreguillou/bert-base-cased-squad-v1.1-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5432

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: 2e-05
train_batch_size: 30
eval_batch_size: 180
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 90
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	96	0.6827
No log	2.0	192	0.4766
No log	3.0	288	0.4886
No log	4.0	384	0.5174
No log	5.0	480	0.5432

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Question Answering
Library: transformers
Type: bert
License: mit
Created: Dec 20, 2022
Updated: Dec 20, 2022