commit
Browse files- added_tokens.json +11 -0
- all_results.json +8 -0
- config.json +204 -0
- generation_config.json +4 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +41 -0
- tokenization_internlm2.py +235 -0
- tokenizer.model +3 -0
- tokenizer_config.json +173 -0
- train_results.json +8 -0
- trainer_state.json +1230 -0
- training_args.bin +3 -0
- training_log.txt +0 -0
added_tokens.json
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all_results.json
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{
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config.json
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{
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"InternVLChatModel"
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],
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generation_config.json
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model-00001-of-00011.safetensors
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oid sha256:0b7cd33f33063c12bcfa36b32dcc05a8044d6bdc663b529815f2c5b5ef1b7465
|
3 |
+
size 4960575744
|
model-00011-of-00011.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71131fdb9740ffa7a7150d6ef6d0ef9370162cfabe1ea222f20ed36a11cbe821
|
3 |
+
size 1772842336
|
model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
special_tokens_map.json
ADDED
@@ -0,0 +1,41 @@
|
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|
|
|
|
|
|
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|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<img>",
|
4 |
+
"</img>",
|
5 |
+
"<IMG_CONTEXT>",
|
6 |
+
"<quad>",
|
7 |
+
"</quad>",
|
8 |
+
"<ref>",
|
9 |
+
"</ref>",
|
10 |
+
"<box>",
|
11 |
+
"</box>"
|
12 |
+
],
|
13 |
+
"bos_token": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"eos_token": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"pad_token": {
|
28 |
+
"content": "</s>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
},
|
34 |
+
"unk_token": {
|
35 |
+
"content": "<unk>",
|
36 |
+
"lstrip": false,
|
37 |
+
"normalized": false,
|
38 |
+
"rstrip": false,
|
39 |
+
"single_word": false
|
40 |
+
}
|
41 |
+
}
|
tokenization_internlm2.py
ADDED
@@ -0,0 +1,235 @@
|
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|
|
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|
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|
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|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
1 |
+
# Copyright (c) The InternLM team and The HuggingFace Inc. team. All rights reserved.
|
2 |
+
#
|
3 |
+
# This code is based on transformers/src/transformers/models/llama/tokenization_llama.py
|
4 |
+
#
|
5 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
6 |
+
# you may not use this file except in compliance with the License.
|
7 |
+
# You may obtain a copy of the License at
|
8 |
+
#
|
9 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
10 |
+
#
|
11 |
+
# Unless required by applicable law or agreed to in writing, software
|
12 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
13 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
14 |
+
# See the License for the specific language governing permissions and
|
15 |
+
# limitations under the License.
|
16 |
+
|
17 |
+
"""Tokenization classes for InternLM."""
|
18 |
+
import os
|
19 |
+
from shutil import copyfile
|
20 |
+
from typing import Any, Dict, List, Optional, Tuple
|
21 |
+
|
22 |
+
import sentencepiece as spm
|
23 |
+
from transformers.tokenization_utils import PreTrainedTokenizer
|
24 |
+
from transformers.utils import logging
|
25 |
+
|
26 |
+
logger = logging.get_logger(__name__)
|
27 |
+
|
28 |
+
VOCAB_FILES_NAMES = {'vocab_file': './tokenizer.model'}
|
29 |
+
|
30 |
+
PRETRAINED_VOCAB_FILES_MAP = {}
|
31 |
+
|
32 |
+
|
33 |
+
# Modified from transformers.model.llama.tokenization_llama.LlamaTokenizer
|
34 |
+
class InternLM2Tokenizer(PreTrainedTokenizer):
|
35 |
+
"""
|
36 |
+
Construct a InternLM2 tokenizer. Based on byte-level Byte-Pair-Encoding.
|
37 |
+
|
38 |
+
Args:
|
39 |
+
vocab_file (`str`):
|
40 |
+
Path to the vocabulary file.
|
41 |
+
"""
|
42 |
+
|
43 |
+
vocab_files_names = VOCAB_FILES_NAMES
|
44 |
+
pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
|
45 |
+
model_input_names = ['input_ids', 'attention_mask']
|
46 |
+
_auto_class = 'AutoTokenizer'
|
47 |
+
|
48 |
+
def __init__(
|
49 |
+
self,
|
50 |
+
vocab_file,
|
51 |
+
unk_token='<unk>',
|
52 |
+
bos_token='<s>',
|
53 |
+
eos_token='</s>',
|
54 |
+
pad_token='</s>',
|
55 |
+
sp_model_kwargs: Optional[Dict[str, Any]] = None,
|
56 |
+
add_bos_token=True,
|
57 |
+
add_eos_token=False,
|
58 |
+
decode_with_prefix_space=False,
|
59 |
+
clean_up_tokenization_spaces=False,
|
60 |
+
**kwargs,
|
61 |
+
):
|
62 |
+
self.sp_model_kwargs = {} if sp_model_kwargs is None else sp_model_kwargs
|
63 |
+
self.vocab_file = vocab_file
|
64 |
+
self.add_bos_token = add_bos_token
|
65 |
+
self.add_eos_token = add_eos_token
|
66 |
+
self.decode_with_prefix_space = decode_with_prefix_space
|
67 |
+
self.sp_model = spm.SentencePieceProcessor(**self.sp_model_kwargs)
|
68 |
+
self.sp_model.Load(vocab_file)
|
69 |
+
self._no_prefix_space_tokens = None
|
70 |
+
super().__init__(
|
71 |
+
bos_token=bos_token,
|
72 |
+
eos_token=eos_token,
|
73 |
+
unk_token=unk_token,
|
74 |
+
pad_token=pad_token,
|
75 |
+
clean_up_tokenization_spaces=clean_up_tokenization_spaces,
|
76 |
+
**kwargs,
|
77 |
+
)
|
78 |
+
|
79 |
+
@property
|
80 |
+
def no_prefix_space_tokens(self):
|
81 |
+
if self._no_prefix_space_tokens is None:
|
82 |
+
vocab = self.convert_ids_to_tokens(list(range(self.vocab_size)))
|
83 |
+
self._no_prefix_space_tokens = {i for i, tok in enumerate(vocab) if not tok.startswith('▁')}
|
84 |
+
return self._no_prefix_space_tokens
|
85 |
+
|
86 |
+
@property
|
87 |
+
def vocab_size(self):
|
88 |
+
"""Returns vocab size"""
|
89 |
+
return self.sp_model.get_piece_size()
|
90 |
+
|
91 |
+
@property
|
92 |
+
def bos_token_id(self) -> Optional[int]:
|
93 |
+
return self.sp_model.bos_id()
|
94 |
+
|
95 |
+
@property
|
96 |
+
def eos_token_id(self) -> Optional[int]:
|
97 |
+
return self.sp_model.eos_id()
|
98 |
+
|
99 |
+
def get_vocab(self):
|
100 |
+
"""Returns vocab as a dict"""
|
101 |
+
vocab = {self.convert_ids_to_tokens(i): i for i in range(self.vocab_size)}
|
102 |
+
vocab.update(self.added_tokens_encoder)
|
103 |
+
return vocab
|
104 |
+
|
105 |
+
def _tokenize(self, text):
|
106 |
+
"""Returns a tokenized string."""
|
107 |
+
return self.sp_model.encode(text, out_type=str)
|
108 |
+
|
109 |
+
def _convert_token_to_id(self, token):
|
110 |
+
"""Converts a token (str) in an id using the vocab."""
|
111 |
+
return self.sp_model.piece_to_id(token)
|
112 |
+
|
113 |
+
def _convert_id_to_token(self, index):
|
114 |
+
"""Converts an index (integer) in a token (str) using the vocab."""
|
115 |
+
token = self.sp_model.IdToPiece(index)
|
116 |
+
return token
|
117 |
+
|
118 |
+
def _maybe_add_prefix_space(self, tokens, decoded):
|
119 |
+
if tokens and tokens[0] not in self.no_prefix_space_tokens:
|
120 |
+
return ' ' + decoded
|
121 |
+
else:
|
122 |
+
return decoded
|
123 |
+
|
124 |
+
def convert_tokens_to_string(self, tokens):
|
125 |
+
"""Converts a sequence of tokens (string) in a single string."""
|
126 |
+
current_sub_tokens = []
|
127 |
+
out_string = ''
|
128 |
+
prev_is_special = False
|
129 |
+
for token in tokens:
|
130 |
+
# make sure that special tokens are not decoded using sentencepiece model
|
131 |
+
if token in self.all_special_tokens:
|
132 |
+
if not prev_is_special:
|
133 |
+
out_string += ' '
|
134 |
+
out_string += self.sp_model.decode(current_sub_tokens) + token
|
135 |
+
prev_is_special = True
|
136 |
+
current_sub_tokens = []
|
137 |
+
else:
|
138 |
+
current_sub_tokens.append(token)
|
139 |
+
prev_is_special = False
|
140 |
+
out_string += self.sp_model.decode(current_sub_tokens)
|
141 |
+
out_string = self.clean_up_tokenization(out_string)
|
142 |
+
out_string = self._maybe_add_prefix_space(tokens=tokens, decoded=out_string)
|
143 |
+
return out_string[1:]
|
144 |
+
|
145 |
+
def save_vocabulary(self, save_directory, filename_prefix: Optional[str] = None) -> Tuple[str]:
|
146 |
+
"""
|
147 |
+
Save the vocabulary and special tokens file to a directory.
|
148 |
+
|
149 |
+
Args:
|
150 |
+
save_directory (`str`):
|
151 |
+
The directory in which to save the vocabulary.
|
152 |
+
|
153 |
+
Returns:
|
154 |
+
`Tuple(str)`: Paths to the files saved.
|
155 |
+
"""
|
156 |
+
if not os.path.isdir(save_directory):
|
157 |
+
logger.error(f'Vocabulary path ({save_directory}) should be a directory')
|
158 |
+
return
|
159 |
+
out_vocab_file = os.path.join(
|
160 |
+
save_directory, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']
|
161 |
+
)
|
162 |
+
|
163 |
+
if os.path.abspath(self.vocab_file) != os.path.abspath(out_vocab_file) and os.path.isfile(self.vocab_file):
|
164 |
+
copyfile(self.vocab_file, out_vocab_file)
|
165 |
+
elif not os.path.isfile(self.vocab_file):
|
166 |
+
with open(out_vocab_file, 'wb') as fi:
|
167 |
+
content_spiece_model = self.sp_model.serialized_model_proto()
|
168 |
+
fi.write(content_spiece_model)
|
169 |
+
|
170 |
+
return (out_vocab_file,)
|
171 |
+
|
172 |
+
def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
|
173 |
+
if self.add_bos_token:
|
174 |
+
bos_token_ids = [self.bos_token_id]
|
175 |
+
else:
|
176 |
+
bos_token_ids = []
|
177 |
+
|
178 |
+
output = bos_token_ids + token_ids_0
|
179 |
+
|
180 |
+
if token_ids_1 is not None:
|
181 |
+
output = output + token_ids_1
|
182 |
+
|
183 |
+
if self.add_eos_token:
|
184 |
+
output = output + [self.eos_token_id]
|
185 |
+
|
186 |
+
return output
|
187 |
+
|
188 |
+
def get_special_tokens_mask(
|
189 |
+
self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None, already_has_special_tokens: bool = False
|
190 |
+
) -> List[int]:
|
191 |
+
"""
|
192 |
+
Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding
|
193 |
+
special tokens using the tokenizer `prepare_for_model` method.
|
194 |
+
|
195 |
+
Args:
|
196 |
+
token_ids_0 (`List[int]`):
|
197 |
+
List of IDs.
|
198 |
+
token_ids_1 (`List[int]`, *optional*):
|
199 |
+
Optional second list of IDs for sequence pairs.
|
200 |
+
already_has_special_tokens (`bool`, *optional*, defaults to `False`):
|
201 |
+
Whether or not the token list is already formatted with special tokens for the model.
|
202 |
+
|
203 |
+
Returns:
|
204 |
+
`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
|
205 |
+
"""
|
206 |
+
if already_has_special_tokens:
|
207 |
+
return super().get_special_tokens_mask(
|
208 |
+
token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True
|
209 |
+
)
|
210 |
+
|
211 |
+
if token_ids_1 is None:
|
212 |
+
return [1] + ([0] * len(token_ids_0)) + [1]
|
213 |
+
return [1] + ([0] * len(token_ids_0)) + [1, 1] + ([0] * len(token_ids_1)) + [1]
|
214 |
+
|
215 |
+
def create_token_type_ids_from_sequences(
|
216 |
+
self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
|
217 |
+
) -> List[int]:
|
218 |
+
"""
|
219 |
+
Create a mask from the two sequences passed to be used in a sequence-pair classification task. T5 does not make
|
220 |
+
use of token type ids, therefore a list of zeros is returned.
|
221 |
+
|
222 |
+
Args:
|
223 |
+
token_ids_0 (`List[int]`):
|
224 |
+
List of IDs.
|
225 |
+
token_ids_1 (`List[int]`, *optional*):
|
226 |
+
Optional second list of IDs for sequence pairs.
|
227 |
+
|
228 |
+
Returns:
|
229 |
+
`List[int]`: List of zeros.
|
230 |
+
"""
|
231 |
+
eos = [self.eos_token_id]
|
232 |
+
|
233 |
+
if token_ids_1 is None:
|
234 |
+
return len(token_ids_0 + eos) * [0]
|
235 |
+
return len(token_ids_0 + eos + token_ids_1 + eos) * [0]
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
|
3 |
+
size 1477754
|
tokenizer_config.json
ADDED
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
153 |
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|
154 |
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|
155 |
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|
156 |
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|
157 |
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|
158 |
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|
159 |
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|
160 |
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|
163 |
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|
164 |
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},
|
165 |
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|
166 |
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|
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|
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|
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|
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|
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|
172 |
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|
173 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
1 |
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{
|
2 |
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|
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|
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|
7 |
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"train_steps_per_second": 0.094
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1230 @@
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training_log.txt
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