celik-muhammed
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Browse files- 1_Pooling/config.json +9 -0
- 2_Dense/config.json +1 -0
- 2_Dense/pytorch_model.bin +3 -0
- README.md +104 -0
- config.json +24 -0
- config_sentence_transformers.json +7 -0
- model.safetensors +3 -0
- modules.json +26 -0
- pytorch_model.bin +3 -0
- sentence_bert_config.json +4 -0
- tokenizer.json +14 -2
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": true,
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"pooling_mode_mean_sqrt_len_tokens": true,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false
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}
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2_Dense/config.json
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{"in_features": 3072, "out_features": 768, "bias": true, "activation_function": "torch.nn.modules.activation.Tanh"}
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2_Dense/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f911b258a8f114740f6ff4b55d938d31f030e3178f40da310d898d0fe36866e0
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size 9441471
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README.md
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---
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# celik-muhammed/multi-qa-mpnet-base-cos-v1-finetuned-dtc-zoomcamp
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('celik-muhammed/multi-qa-mpnet-base-cos-v1-finetuned-dtc-zoomcamp')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=celik-muhammed/multi-qa-mpnet-base-cos-v1-finetuned-dtc-zoomcamp)
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## Training
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The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 794 with parameters:
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```
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{'batch_size': 4, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
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```
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{'scale': 20.0, 'similarity_fct': 'cos_sim'}
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```
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 989 with parameters:
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```
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{'batch_size': 4, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.OnlineContrastiveLoss.OnlineContrastiveLoss`
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Parameters of the fit()-Method:
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```
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{
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"epochs": 1,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2.43e-06
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 99.0,
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"weight_decay": 0.1
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}
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': True, 'pooling_mode_mean_sqrt_len_tokens': True, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False})
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(2): Dense({'in_features': 3072, 'out_features': 768, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
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(3): Normalize()
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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config.json
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{
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"_name_or_path": "sentence-transformers/multi-qa-mpnet-base-cos-v1",
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"architectures": [
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"MPNetModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "mpnet",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"vocab_size": 30527
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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": "2.3.1",
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"transformers": "4.36.2",
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"pytorch": "2.0.0"
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:252c14fd08402ac0516d1df9b3136f850e8c87a4c9c607cdbebeac67a96e52d6
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size 437967672
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Dense",
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"type": "sentence_transformers.models.Dense"
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},
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{
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"idx": 3,
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"name": "3",
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"path": "3_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:06ce9570c7996cba345ae4a7daf8106e4d0ccb53caa86bf7223c0e665e21f3a7
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size 447981749
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sentence_bert_config.json
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{
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"max_seq_length": 512,
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"do_lower_case": false
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}
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tokenizer.json
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"version": "1.0",
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"truncation":
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"added_tokens": [
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"id": 0,
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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{
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"id": 0,
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