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ALBERT-V2

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Lysandre
2019-11-04 11:34:30 -05:00
committed by Lysandre Debut
parent c110c41fdb
commit 70d99980de
4 changed files with 37 additions and 20 deletions
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12
transformers/configuration_albert.py
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@@ -18,10 +18,14 @@
from .configuration_utils import PretrainedConfig
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP = {
'albert-base': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-config.json",
'albert-large': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-config.json",
'albert-xlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-config.json",
'albert-xxlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-config.json",
'albert-base-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-config.json",
'albert-large-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-config.json",
'albert-xlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-config.json",
'albert-xxlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-config.json",
'albert-base-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-v2-config.json",
'albert-large-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-v2-config.json",
'albert-xlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-v2-config.json",
'albert-xxlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-v2-config.json",
}
class AlbertConfig(PretrainedConfig):

5
transformers/convert_albert_original_tf_checkpoint_to_pytorch.py
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@@ -26,9 +26,10 @@ from transformers import AlbertConfig, AlbertForMaskedLM, load_tf_weights_in_alb
import logging
logging.basicConfig(level=logging.INFO)
def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, bert_config_file, pytorch_dump_path):
def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, albert_config_file, pytorch_dump_path):
# Initialise PyTorch model
config = AlbertConfig.from_json_file(bert_config_file)
config = AlbertConfig.from_json_file(albert_config_file)
print("Building PyTorch model from configuration: {}".format(str(config)))
model = AlbertForMaskedLM(config)

16
transformers/modeling_albert.py
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@@ -30,10 +30,14 @@ logger = logging.getLogger(__name__)
ALBERT_PRETRAINED_MODEL_ARCHIVE_MAP = {
'albert-base': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-pytorch_model.bin",
'albert-large': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-pytorch_model.bin",
'albert-xlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-pytorch_model.bin",
'albert-xxlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-pytorch_model.bin",
'albert-base-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-pytorch_model.bin",
'albert-large-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-pytorch_model.bin",
'albert-xlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-pytorch_model.bin",
'albert-xxlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-pytorch_model.bin",
'albert-base-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-v2-pytorch_model.bin",
'albert-large-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-v2-pytorch_model.bin",
'albert-xlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-v2-pytorch_model.bin",
'albert-xxlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-v2-pytorch_model.bin",
}
@@ -538,8 +542,8 @@ class AlbertForSequenceClassification(AlbertPreTrainedModel):
Examples::
tokenizer = AlbertTokenizer.from_pretrained('albert-base')
model = AlbertForSequenceClassification.from_pretrained('albert-base')
tokenizer = AlbertTokenizer.from_pretrained('albert-base-v2')
model = AlbertForSequenceClassification.from_pretrained('albert-base-v2')
input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute")).unsqueeze(0) # Batch size 1
labels = torch.tensor([1]).unsqueeze(0) # Batch size 1
outputs = model(input_ids, labels=labels)

24
transformers/tokenization_albert.py
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@@ -29,18 +29,26 @@ VOCAB_FILES_NAMES = {'vocab_file': 'spiece.model'}
PRETRAINED_VOCAB_FILES_MAP = {
'vocab_file':
{
'albert-base': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-spiece.model",
'albert-large': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-spiece.model",
'albert-xlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-spiece.model",
'albert-xxlarge': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-spiece.model",
'albert-base-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-spiece.model",
'albert-large-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-spiece.model",
'albert-xlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-spiece.model",
'albert-xxlarge-v1': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-spiece.model",
'albert-base-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-v2-spiece.model",
'albert-large-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-large-v2-spiece.model",
'albert-xlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xlarge-v2-spiece.model",
'albert-xxlarge-v2': "https://s3.amazonaws.com/models.huggingface.co/bert/albert-xxlarge-v2-spiece.model",
}
}
PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
'albert-base': 512,
'albert-large': 512,
'albert-xlarge': 512,
'albert-xxlarge': 512,
'albert-base-v1': 512,
'albert-large-v1': 512,
'albert-xlarge-v1': 512,
'albert-xxlarge-v1': 512,
'albert-base-v2': 512,
'albert-large-v2': 512,
'albert-xlarge-v2': 512,
'albert-xxlarge-v2': 512,
}
SPIECE_UNDERLINE = u'▁'