The config file for NLP models contain three main sections:
trainer
: contains the configs for PTL training. For more information, refer to :doc:`../core/core` and PTL Trainer class API <https://pytorch-lightning.readthedocs.io/en/stable/common/trainer.html#trainer-class-api>.exp_manager
: the configs of the experiment manager. For more information, refer to :doc:`../core/core`.model
: contains the configs of the datasets, model architecture, tokenizer, optimizer, scheduler, etc.
The following sub-sections of the model section are shared among most of the NLP models.
tokenizer
: specifies the tokenizerlanguage_model
: specifies the underlying model to be used as the encoderoptim
: the configs of the optimizer and scheduler :doc:`../core/core`
The tokenizer
and language_model
sections have the following parameters:
Parameter | Data Type | Description |
model.tokenizer.tokenizer_name | string | Tokenizer name will be filled automatically based on model.language_model.pretrained_model_name . |
model.tokenizer.vocab_file | string | Path to tokenizer vocabulary. |
model.tokenizer.tokenizer_model | string | Path to tokenizer model (only for sentencepiece tokenizer). |
model.language_model.pretrained_model_name | string | Pre-trained language model name, for example: bert-base-cased or bert-base-uncased . |
model.language_model.lm_checkpoint | string | Path to the pre-trained language model checkpoint. |
model.language_model.config_file | string | Path to the pre-trained language model config file. |
model.language_model.config | dictionary | Config of the pre-trained language model. |
The parameter model.language_model.pretrained_model_name can be one of the following:
megatron-bert-345m-uncased
,megatron-bert-345m-cased
,biomegatron-bert-345m-uncased
,biomegatron-bert-345m-cased
,bert-base-uncased
,bert-large-uncased
,bert-base-cased
,bert-large-cased
distilbert-base-uncased
,distilbert-base-cased
roberta-base
,roberta-large
,distilroberta-base
albert-base-v1
,albert-large-v1
,albert-xlarge-v1
,albert-xxlarge-v1
,albert-base-v2
,albert-large-v2
,albert-xlarge-v2
,albert-xxlarge-v2