Albert model? I will be so pleased to test the ALBert model in tf2.

YankeeMarco commented 4 years ago

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saberkun commented 4 years ago

Hi, Albert is straightforward to implement. We are releasing a newer version soon including Albert variants. Assigning the issue to me. Will update here. Thanks!

saberkun commented 4 years ago

We are working in progress. Expect to release checkpoints and models soon.

stefan-it commented 7 months ago

Hi guys,

is there any update about an ALBERT pretraining with Model Garden?

Many thanks!

laxmareddyp commented 7 months ago

Hi @stefan-it ,

Could you please check this Albert pretrained_models.md from the Model Garden will help you.

stefan-it commented 7 months ago

Hi @laxmareddyp,

thanks for your quick reply! So my aim is to pretrain an ALBERT model from scratch. Thanks to TRC I could sucessfully pretrain BERT, BERT with Token Dropping and TEAMS models with this great Model Garden library here. E.g. this is pretraining command for BERT with Token Dropping:

python3 train.py \
    --experiment=token_drop_bert/pretraining \
    --config_file=gwlms_base_pretrain_sequence_pack.yaml \
    --config_file=gwlms_base_token_drop.yaml \
    --params_override="runtime.distribution_strategy=tpu" \
    --tpu=gwlms \
    --model_dir=gs://gwlms/models/bert-base-td-german-wikipedia-v1-dupe5-cased \
    --mode=train

As far as I can see, there's no experiment definition like albert/pretraining. Technically, the generation of pretraining data should work for ALBERT, as the create_pretraining_data.py script supports SPM models, so I think "only" the experiment definition part for ALBERT is missing here :thinking:

tensorflow / models