create_longformer_model {aifeducation} | R Documentation |
Function for creating a new transformer based on Longformer
Description
This function creates a transformer configuration based on the Longformer base architecture and a vocabulary based on Byte-Pair Encoding (BPE) tokenizer by using the python libraries 'transformers' and 'tokenizers'.
Usage
create_longformer_model(
ml_framework = aifeducation_config$get_framework,
model_dir,
vocab_raw_texts = NULL,
vocab_size = 30522,
add_prefix_space = FALSE,
trim_offsets = TRUE,
max_position_embeddings = 512,
hidden_size = 768,
num_hidden_layer = 12,
num_attention_heads = 12,
intermediate_size = 3072,
hidden_act = "gelu",
hidden_dropout_prob = 0.1,
attention_probs_dropout_prob = 0.1,
attention_window = 512,
sustain_track = TRUE,
sustain_iso_code = NULL,
sustain_region = NULL,
sustain_interval = 15,
trace = TRUE,
pytorch_safetensors = TRUE
)
Arguments
ml_framework |
|
model_dir |
|
vocab_raw_texts |
|
vocab_size |
|
add_prefix_space |
|
trim_offsets |
|
max_position_embeddings |
|
| |
| |
num_attention_heads |
|
intermediate_size |
|
| |
| |
attention_probs_dropout_prob |
|
attention_window |
|
sustain_track |
|
sustain_iso_code |
|
sustain_region |
Region within a country. Only available for USA and Canada See the documentation of codecarbon for more information. https://mlco2.github.io/codecarbon/parameters.html |
sustain_interval |
|
trace |
|
pytorch_safetensors |
|
Value
This function does not return an object. Instead the configuration and the vocabulary of the new model are saved on disk.
Note
To train the model, pass the directory of the model to the function train_tune_longformer_model.
References
Beltagy, I., Peters, M. E., & Cohan, A. (2020). Longformer: The Long-Document Transformer. doi:10.48550/arXiv.2004.05150
Hugging Face Documentation https://huggingface.co/docs/transformers/model_doc/longformer#transformers.LongformerConfig
See Also
Other Transformer:
create_bert_model()
,
create_deberta_v2_model()
,
create_funnel_model()
,
create_roberta_model()
,
train_tune_bert_model()
,
train_tune_deberta_v2_model()
,
train_tune_funnel_model()
,
train_tune_longformer_model()
,
train_tune_roberta_model()