Commit
•
acbaabd
1
Parent(s):
6b268d9
Add initial model files
Browse files- config.json +52 -0
- generation_config.json +6 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +854 -0
- special_tokens_map.json +33 -0
- tokenization_crystalcoder_fast.py +144 -0
- tokenizer.json +0 -0
- tokenizer_config.json +269 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
config.json
ADDED
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{
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"_name_or_path": "LLM360/CrystalChat",
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"activation_function": "swiglu",
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"architectures": [
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"LlavaCrystalForCausalLM"
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],
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"attn_pdrop": 0.0,
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"auto_map": {
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"AutoConfig": "LLM360/CrystalChat--configuration_crystalcoder.CrystalCoderConfig",
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"AutoModel": "LLM360/CrystalChat--modeling_crystalcoder.CrystalCoderModel",
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"AutoModelForCausalLM": "LLM360/CrystalChat--modeling_crystalcoder.CrystalCoderLMHeadModel"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 2,
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"freeze_mm_mlp_adapter": false,
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"image_aspect_ratio": "pad",
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"mm_hidden_size": 1024,
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"mm_projector_lr": null,
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"mm_projector_type": "mlp2x_gelu",
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"mm_vision_tower": "openai/clip-vit-large-patch14-336",
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"model_type": "llava_crystal",
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"mup_embeddings_scale": 14.6,
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"mup_output_alpha": 2.22,
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"mup_scale_qk_dot_by_d": true,
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"mup_width_scale": 0.0625,
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"n_embd": 4096,
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"n_head": 32,
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"n_inner": 10922,
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"n_layer": 32,
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"n_positions": 2048,
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"position_embedding_type": "rotary",
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.0,
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"rotary_dim": 32,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"tokenizer_model_max_length": 2048,
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"tokenizer_padding_side": "right",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.31.0",
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"tune_mm_mlp_adapter": false,
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"use_cache": true,
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"use_mm_proj": true,
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"vocab_size": 32032
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.31.0"
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}
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pytorch_model-00001-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7d6b4edfb9aec8082fcd8d9258fed4faadb9971fbe05d24115decf6319d6151
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size 9928636172
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pytorch_model-00002-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:4367dc5a6c92e7d99ed155a798628ba231ff52793a651cbf721bc7397ac1a5b1
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size 3871196172
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pytorch_model.bin.index.json
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|
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|
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|
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| 822 |
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| 823 |
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|
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|
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|
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|
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|
| 838 |
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|
| 839 |
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|
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|
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|
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|
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|
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|
| 846 |
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|
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|
| 848 |
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|
| 849 |
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|
| 850 |
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|
| 851 |
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|
| 852 |
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|
| 853 |
+
}
|
| 854 |
+
}
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ADDED
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<unk>",
|
| 4 |
+
"<s>",
|
| 5 |
+
"</s>",
|
| 6 |
+
"<|fim_prefix|>",
|
| 7 |
+
"<|fim_middle|>",
|
| 8 |
+
"<|fim_suffix|>",
|
| 9 |
+
"<|fim_pad|>",
|
| 10 |
+
"<|filename|>",
|
| 11 |
+
"<|gh_stars|>",
|
| 12 |
+
"<|issue_start|>",
|
| 13 |
+
"<|issue_comment|>",
|
| 14 |
+
"<|issue_closed|>",
|
| 15 |
+
"<|jupyter_start|>",
|
| 16 |
+
"<|jupyter_text|>",
|
| 17 |
+
"<|jupyter_code|>",
|
| 18 |
+
"<|jupyter_output|>",
|
| 19 |
+
"<|empty_output|>",
|
| 20 |
+
"<|commit_before|>",
|
| 21 |
+
"<|commit_msg|>",
|
| 22 |
+
"<|commit_after|>",
|
| 23 |
+
"<|reponame|>",
|
| 24 |
+
"<|im_start|>",
|
| 25 |
+
"<|im_end|>",
|
| 26 |
+
"<|sys_start|>",
|
| 27 |
+
"<|sys_end|>"
|
| 28 |
+
],
|
| 29 |
+
"bos_token": "<s>",
|
| 30 |
+
"eos_token": "</s>",
|
| 31 |
+
"pad_token": "<unk>",
|
| 32 |
+
"unk_token": "<unk>"
|
| 33 |
+
}
|
tokenization_crystalcoder_fast.py
ADDED
|
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
import os
|
| 3 |
+
from shutil import copyfile
|
| 4 |
+
from typing import Optional, Tuple
|
| 5 |
+
|
| 6 |
+
from tokenizers import processors
|
| 7 |
+
|
| 8 |
+
from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
|
| 9 |
+
from transformers.utils import is_sentencepiece_available, logging
|
| 10 |
+
from transformers.utils.versions import require_version
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
require_version("tokenizers>=0.13.3")
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
logger = logging.get_logger(__name__)
|
| 18 |
+
VOCAB_FILES_NAMES = {"vocab_file": "tokenizer.model", "tokenizer_file": "tokenizer.json"}
|
| 19 |
+
|
| 20 |
+
# fmt: off
|
| 21 |
+
DEFAULT_SYSTEM_PROMPT = """You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your \
|
| 22 |
+
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
|
| 23 |
+
that your responses are socially unbiased and positive in nature.
|
| 24 |
+
|
| 25 |
+
If a question does not make any sense, or is not factually coherent, explain why instead of answering something not \
|
| 26 |
+
correct. If you don't know the answer to a question, please don't share false information."""
|
| 27 |
+
# fmt: on
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
class CrystalCoderTokenizerFast(PreTrainedTokenizerFast):
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
vocab_files_names = VOCAB_FILES_NAMES
|
| 34 |
+
slow_tokenizer_class = None
|
| 35 |
+
padding_side = "left"
|
| 36 |
+
model_input_names = ["input_ids", "attention_mask"]
|
| 37 |
+
|
| 38 |
+
def __init__(
|
| 39 |
+
self,
|
| 40 |
+
vocab_file=None,
|
| 41 |
+
tokenizer_file=None,
|
| 42 |
+
clean_up_tokenization_spaces=False,
|
| 43 |
+
unk_token="<|unk|>",
|
| 44 |
+
bos_token="<|startoftext|>",
|
| 45 |
+
eos_token="<|endoftext|>",
|
| 46 |
+
add_bos_token=False,
|
| 47 |
+
add_eos_token=False,
|
| 48 |
+
use_default_system_prompt=False,
|
| 49 |
+
**kwargs,
|
| 50 |
+
):
|
| 51 |
+
super().__init__(
|
| 52 |
+
vocab_file=vocab_file,
|
| 53 |
+
tokenizer_file=tokenizer_file,
|
| 54 |
+
clean_up_tokenization_spaces=clean_up_tokenization_spaces,
|
| 55 |
+
unk_token=unk_token,
|
| 56 |
+
bos_token=bos_token,
|
| 57 |
+
eos_token=eos_token,
|
| 58 |
+
use_default_system_prompt=use_default_system_prompt,
|
| 59 |
+
**kwargs,
|
| 60 |
+
)
|
| 61 |
+
self._add_bos_token = add_bos_token
|
| 62 |
+
self._add_eos_token = add_eos_token
|
| 63 |
+
self.update_post_processor()
|
| 64 |
+
self.use_default_system_prompt = use_default_system_prompt
|
| 65 |
+
self.vocab_file = vocab_file
|
| 66 |
+
|
| 67 |
+
@property
|
| 68 |
+
def can_save_slow_tokenizer(self) -> bool:
|
| 69 |
+
return os.path.isfile(self.vocab_file) if self.vocab_file else False
|
| 70 |
+
|
| 71 |
+
def update_post_processor(self):
|
| 72 |
+
"""
|
| 73 |
+
Updates the underlying post processor with the current `bos_token` and `eos_token`.
|
| 74 |
+
"""
|
| 75 |
+
bos = self.bos_token
|
| 76 |
+
bos_token_id = self.bos_token_id
|
| 77 |
+
if bos is None and self.add_bos_token:
|
| 78 |
+
raise ValueError("add_bos_token = True but bos_token = None")
|
| 79 |
+
|
| 80 |
+
eos = self.eos_token
|
| 81 |
+
eos_token_id = self.eos_token_id
|
| 82 |
+
if eos is None and self.add_eos_token:
|
| 83 |
+
raise ValueError("add_eos_token = True but eos_token = None")
|
| 84 |
+
|
| 85 |
+
single = f"{(bos+':0 ') if self.add_bos_token else ''}$A:0{(' '+eos+':0') if self.add_eos_token else ''}"
|
| 86 |
+
pair = f"{single}{(' '+bos+':1') if self.add_bos_token else ''} $B:1{(' '+eos+':1') if self.add_eos_token else ''}"
|
| 87 |
+
|
| 88 |
+
special_tokens = []
|
| 89 |
+
if self.add_bos_token:
|
| 90 |
+
special_tokens.append((bos, bos_token_id))
|
| 91 |
+
if self.add_eos_token:
|
| 92 |
+
special_tokens.append((eos, eos_token_id))
|
| 93 |
+
self._tokenizer.post_processor = processors.TemplateProcessing(
|
| 94 |
+
single=single, pair=pair, special_tokens=special_tokens
|
| 95 |
+
)
|
| 96 |
+
|
| 97 |
+
@property
|
| 98 |
+
def add_eos_token(self):
|
| 99 |
+
return self._add_eos_token
|
| 100 |
+
|
| 101 |
+
@property
|
| 102 |
+
def add_bos_token(self):
|
| 103 |
+
return self._add_bos_token
|
| 104 |
+
|
| 105 |
+
@add_eos_token.setter
|
| 106 |
+
def add_eos_token(self, value):
|
| 107 |
+
self._add_eos_token = value
|
| 108 |
+
self.update_post_processor()
|
| 109 |
+
|
| 110 |
+
@add_bos_token.setter
|
| 111 |
+
def add_bos_token(self, value):
|
| 112 |
+
self._add_bos_token = value
|
| 113 |
+
self.update_post_processor()
|
| 114 |
+
|
| 115 |
+
def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]:
|
| 116 |
+
if not self.can_save_slow_tokenizer:
|
| 117 |
+
raise ValueError(
|
| 118 |
+
"Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
|
| 119 |
+
"tokenizer."
|
| 120 |
+
)
|
| 121 |
+
|
| 122 |
+
if not os.path.isdir(save_directory):
|
| 123 |
+
logger.error(f"Vocabulary path ({save_directory}) should be a directory")
|
| 124 |
+
return
|
| 125 |
+
out_vocab_file = os.path.join(
|
| 126 |
+
save_directory, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]
|
| 127 |
+
)
|
| 128 |
+
|
| 129 |
+
if os.path.abspath(self.vocab_file) != os.path.abspath(out_vocab_file):
|
| 130 |
+
copyfile(self.vocab_file, out_vocab_file)
|
| 131 |
+
|
| 132 |
+
return (out_vocab_file,)
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None):
|
| 136 |
+
bos_token_id = [self.bos_token_id] if self.add_bos_token else []
|
| 137 |
+
eos_token_id = [self.eos_token_id] if self.add_eos_token else []
|
| 138 |
+
|
| 139 |
+
output = bos_token_id + token_ids_0 + eos_token_id
|
| 140 |
+
|
| 141 |
+
if token_ids_1 is not None:
|
| 142 |
+
output = output + bos_token_id + token_ids_1 + eos_token_id
|
| 143 |
+
|
| 144 |
+
return output
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,269 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
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| 269 |
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|
trainer_state.json
ADDED
|
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See raw diff
|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5c91416669914faf32b8361aca767d170cdb6c1a55e5cec000594812c2a6a6be
|
| 3 |
+
size 6139
|