BERT2BERT_pretrained_LC-QuAD_2.0

JulienRPA/BERT2BERT_pretrained_LC-QuAD_2.0

BERT2BERT_pretrained_LC-QuAD_2.0 is a machine learning model from JulienRPA. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: May 22, 2023
Updated: Jun 5, 2023
SHA: 63417c4e

Model card

From the Hugging Face model README

BERT2BERT_pretrained_LC-QuAD_2.0

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0810
Bleu: 74.7723
Em: 0.0349
Gen Len: 46.1685

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2500
num_epochs: 8.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Em	Gen Len
6.9199	1.4	2000	6.3751	3.4801	0.0	220.966
3.0222	2.8	4000	2.8796	27.8543	0.0	36.8
1.5982	4.19	6000	1.7495	56.0747	0.0017	43.9021
1.0717	5.59	8000	1.2625	69.9606	0.0199	46.0722
0.7765	6.99	10000	1.0810	74.7723	0.0349	46.1685

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: encoder-decoder
Created: May 22, 2023
Updated: Jun 5, 2023