Upload 12 files
Browse files- __init__.py +0 -0
- config.json +24 -0
- config_sentence_transformers.json +7 -0
- data_config.json +1452 -0
- model.safetensors +3 -0
- modeling_bertchunker.py +83 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
__init__.py
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File without changes
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config.json
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{
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"_name_or_path": "nreimers/MiniLM-L6-H384-uncased",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.8.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.0.0",
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"transformers": "4.6.1",
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"pytorch": "1.8.1"
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}
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}
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data_config.json
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|
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|
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|
| 1434 |
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|
| 1439 |
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|
| 1440 |
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| 1442 |
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|
| 1444 |
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| 1445 |
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| 1447 |
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| 1448 |
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|
| 1449 |
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|
| 1450 |
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| 1452 |
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|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d965efe7f9e86d33dd466eac6ed06381f3b2204577fd86e16e87263dc6f0b7e5
|
| 3 |
+
size 90868032
|
modeling_bertchunker.py
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from transformers.modeling_utils import PreTrainedModel
|
| 2 |
+
from torch import nn
|
| 3 |
+
from transformers.models.bert.configuration_bert import BertConfig
|
| 4 |
+
from transformers.models.bert.modeling_bert import BertModel
|
| 5 |
+
import torch
|
| 6 |
+
import safetensors
|
| 7 |
+
from transformers import AutoConfig,AutoTokenizer
|
| 8 |
+
class BertChunker(PreTrainedModel):
|
| 9 |
+
|
| 10 |
+
config_class = BertConfig
|
| 11 |
+
|
| 12 |
+
def __init__(self, config, ):
|
| 13 |
+
super().__init__(config)
|
| 14 |
+
|
| 15 |
+
self.model = BertModel(config)
|
| 16 |
+
self.chunklayer = nn.Linear(384, 2)
|
| 17 |
+
|
| 18 |
+
def forward(self, input_ids=None, attention_mask=None,labels=None, **kwargs):
|
| 19 |
+
model_output = self.model(
|
| 20 |
+
input_ids=input_ids, attention_mask=attention_mask, **kwargs
|
| 21 |
+
)
|
| 22 |
+
token_embeddings = model_output[0]
|
| 23 |
+
logits = self.chunklayer(token_embeddings)
|
| 24 |
+
model_output["logits"]=logits
|
| 25 |
+
loss = None
|
| 26 |
+
logits = logits.contiguous()
|
| 27 |
+
if labels:
|
| 28 |
+
labels = labels.contiguous()
|
| 29 |
+
# Flatten the tokens
|
| 30 |
+
loss_fct = nn.CrossEntropyLoss()#用-100
|
| 31 |
+
# loss_fct = nn.CrossEntropyLoss(ignore_index=50257)
|
| 32 |
+
logits = logits.view(-1, logits.shape[-1])
|
| 33 |
+
labels = labels.view(-1)
|
| 34 |
+
# Enable model parallelism
|
| 35 |
+
labels = labels.to(labels.device)
|
| 36 |
+
loss = loss_fct(logits, labels)
|
| 37 |
+
model_output["loss"]=loss
|
| 38 |
+
|
| 39 |
+
return model_output
|
| 40 |
+
|
| 41 |
+
def chunk_text(self, text:str, tokenizer,threshold=0)->list[str]:
|
| 42 |
+
|
| 43 |
+
MAX_TOKENS=255
|
| 44 |
+
tokens=tokenizer(text, return_tensors="pt",truncation=False)
|
| 45 |
+
input_ids=tokens['input_ids']
|
| 46 |
+
attention_mask=tokens['attention_mask'][:,0:MAX_TOKENS]
|
| 47 |
+
attention_mask=attention_mask.to(self.device)
|
| 48 |
+
CLS=input_ids[:,0].unsqueeze(0)
|
| 49 |
+
SEP=input_ids[:,-1].unsqueeze(0)
|
| 50 |
+
input_ids=input_ids[:,1:-1]
|
| 51 |
+
# model= model.to(device)
|
| 52 |
+
self.eval()
|
| 53 |
+
split_str_poses=[]
|
| 54 |
+
|
| 55 |
+
windows_start =0
|
| 56 |
+
windows_end= 0
|
| 57 |
+
|
| 58 |
+
while windows_end <= input_ids.shape[1]:
|
| 59 |
+
windows_end= windows_start + MAX_TOKENS-2
|
| 60 |
+
|
| 61 |
+
ids=torch.cat((CLS, input_ids[:,windows_start:windows_end],SEP),1)
|
| 62 |
+
|
| 63 |
+
ids=ids.to(self.device)
|
| 64 |
+
|
| 65 |
+
output=self(input_ids=ids,attention_mask=attention_mask[:,:len(ids)])
|
| 66 |
+
logits = output['logits'][:, 1:-1,:]
|
| 67 |
+
is_left_greater = ((logits[:,:, 0] + threshold) < logits[:,:, 1])
|
| 68 |
+
greater_rows_indices = torch.where(is_left_greater)
|
| 69 |
+
|
| 70 |
+
# null or not
|
| 71 |
+
if greater_rows_indices[1].numel():
|
| 72 |
+
split_token_idx = greater_rows_indices[1] + windows_start + 1
|
| 73 |
+
|
| 74 |
+
split_str_pos=[tokens.token_to_chars(sp).start for sp in split_token_idx.tolist()]
|
| 75 |
+
|
| 76 |
+
split_str_poses += split_str_pos
|
| 77 |
+
|
| 78 |
+
windows_start = greater_rows_indices[1][-1] + windows_start
|
| 79 |
+
else:
|
| 80 |
+
windows_start = windows_end
|
| 81 |
+
|
| 82 |
+
substrings = [text[i:j] for i, j in zip([0] + split_str_poses, split_str_poses+[len(text)])]
|
| 83 |
+
return substrings
|
modules.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"idx": 2,
|
| 16 |
+
"name": "2",
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| 17 |
+
"path": "2_Normalize",
|
| 18 |
+
"type": "sentence_transformers.models.Normalize"
|
| 19 |
+
}
|
| 20 |
+
]
|
sentence_bert_config.json
ADDED
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 256,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
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special_tokens_map.json
ADDED
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@@ -0,0 +1 @@
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|
|
| 1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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| 1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "name_or_path": "nreimers/MiniLM-L6-H384-uncased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer", "model_max_length": 512}
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vocab.txt
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