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FINGU-AI
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FinguMv3
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1
Sentence Similarity
sentence-transformers
Safetensors
qwen2
feature-extraction
Generated from Trainer
dataset_size:693000
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
text-embeddings-inference
arxiv:
1908.10084
arxiv:
2205.13147
arxiv:
1705.00652
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FinguMv3
9.29 GB
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.gitattributes
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README.md
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added_tokens.json
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config.json
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config_sentence_transformers.json
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merges.txt
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model.safetensors
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modules.json
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optimizer.pt
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rng_state_0.pth
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Detected Pickle imports (7)
"numpy.core.multiarray._reconstruct"
,
"torch._utils._rebuild_tensor_v2"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.ndarray"
,
"collections.OrderedDict"
,
"numpy.dtype"
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rng_state_1.pth
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Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.dtype"
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rng_state_2.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.dtype"
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rng_state_3.pth
pickle
Detected Pickle imports (7)
"torch._utils._rebuild_tensor_v2"
,
"collections.OrderedDict"
,
"numpy.ndarray"
,
"numpy.core.multiarray._reconstruct"
,
"_codecs.encode"
,
"torch.ByteStorage"
,
"numpy.dtype"
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scheduler.pt
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Pickle imports
No problematic imports detected
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sentence_bert_config.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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trainer_state.json
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training_args.bin
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Detected Pickle imports (11)
"transformers.trainer_pt_utils.AcceleratorConfig"
,
"sentence_transformers.training_args.SentenceTransformerTrainingArguments"
,
"torch.device"
,
"accelerate.utils.dataclasses.DistributedType"
,
"sentence_transformers.training_args.MultiDatasetBatchSamplers"
,
"transformers.trainer_utils.SchedulerType"
,
"transformers.training_args.OptimizerNames"
,
"accelerate.state.PartialState"
,
"transformers.trainer_utils.HubStrategy"
,
"sentence_transformers.training_args.BatchSamplers"
,
"transformers.trainer_utils.IntervalStrategy"
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