Add new SentenceTransformer model

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+    "word_embedding_dimension": 384,
+    "pooling_mode_cls_token": false,
+    "pooling_mode_mean_tokens": true,
+    "pooling_mode_max_tokens": false,
+    "pooling_mode_mean_sqrt_len_tokens": false,
+    "pooling_mode_weightedmean_tokens": false,
+    "pooling_mode_lasttoken": false,
+    "include_prompt": true
+}

README.md

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+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- dense
+- generated_from_trainer
+- dataset_size:157108
+- loss:DenoisingAutoEncoderLoss
+base_model: sentence-transformers/all-MiniLM-L6-v2
+widget:
+- source_sentence: you only going off me im saying is me person care they are getting
+    or therapy they get I will ive 20 different psychiatrists and all have disorders
+    for its we about managing.
+  sentences:
+  - Help So i've been together with my boyfriend for a month now and we we're gonna
+    hang out today but i'm not feeling well. I had a sweet sixteen party yesterday
+    and i don't have any energy left. This isn't the first time that i cancel on him
+    on the same day we meet up. I just feel guilty because I really do want to see
+    him but plans come up last minute. He's very patient with me but i feel like his
+    parents will start having a bad image of me and I don't want to lose him. It's
+    maybe the 3rd time i had to cancel on him. Any advice
+  - That’s pretty interesting I’ve always read that Bundy had a PCL-R score of 39
+    which is insane I guess it’s all speculation unless you can see the reports directly.  I
+    tend to agree that there is usually something else going on but I would say that
+    you would have to either be psychotic and not know what you are doing or pretty
+    psychopathic to abduct torture rape and kill multiple people.
+  - I agree with you im only going off what's happened to me im not saying everyone
+    is like me it depends on the person the care they are getting the meds or therapy
+    they get. I will say ive seen over 20 different psychiatrists and they all say
+    you will have these disorders for life its just how we go about managing them.
+- source_sentence: to the morning
+  sentences:
+  - 'Does my friends with benefits have feelings? Okay, so I did the classic: came
+    out of a relationship and started hooking up with a friend. We did the classic
+    tell each other and friendship wouldn’t be ruined etc and that we’d be open to
+    seeing where it went. I came out of a relationship that made me very anxious and
+    nervous, into a situation where I can be open and myself easily around a girl
+    that I get and can really enjoy the company of. It started off as a text after
+    going out to hook up at 1am the standard routine, but now i find myself staying
+    over for 4 days in a row. I didn’t think I would but I’m pretty keen on her, and
+    enjoy spending time with her. We’re in the same social circles and often end up
+    hanging out at parties together etc. We don’t just have sex, we get food, cook
+    for each other and it’s very couple-esque (a lot of holding hands, cuddling).
+    However she’ll always mention other girls we know, playfully saying I could hook
+    up with them and teasing about it. She remarks that I’m falling in love with her
+    and mentions about her birthday, but then when we talk about something that’s
+    happening in say 5 months, she asks will we still be friends then (referring to
+    will this have gone wrong by then and fallen out). I’m pretty keen on seeing where
+    this goes but obviously don’t want to lay it on the table and get shot down. I’m
+    a shit for reading into things heavily so just wanted a second opinion on whether
+    this does seem to be going somewhere or is this a standard fwb situation as I’ve
+    no experience.'
+  - How do I transfer a weapon to another person legally? So Im currently 18, and
+    its legal for me to own a rifle. However some of places I would like to buy one
+    like Dicks Sporting goods have that over 21 age restriction. Can I have my father
+    purchase the firearm and then somehow we could transfer it into my name? Just
+    need an answer I havent found anything too helpful.
+  - Wake up to that person in the morning
+- source_sentence: and
+  sentences:
+  - '​'
+  - We live far apart I cannot give her a visit, with her kids she left em with their
+    dad, dog is already with someone, what can I do? I cannot stop her pain she is
+    suffering mentally and physically
+  - Seroquel and depakote
+- source_sentence: For've been's USAWX for 12K, almost completely in green down .
+    looking at Fidelity too since USAWX 1.1 . is things are well international stocks,
+    be the index by a bit beats the index . that I it since winning" more the it expense
+    ratio?
+  sentences:
+  - 'loans:'
+  - Yeah this is true. I think the point of redefining autism stereotypes is fighting
+    bullying in highschool. I still get bullied tho, so it’s not just highschool.
+  - For international I've been in USAA's USAWX for forever, and am at 12K, almost
+    completely in the green except for some of last year's buy-in that's still upside
+    down. I'm looking at moving to the Fidelity index fund equivalent there too since
+    USAWX has a 1.1% exp ratio. Thing is, when things are going well for international
+    stocks, it seems to be outperforming the index funds by quite a bit. It beats
+    the index funds by 1.1%. Does that mean I should probably stick with it since
+    it's "winning" by more than the amount it costs me in expense ratio?
+- source_sentence: //reddit.com/r/tressless/comments/140rdo4/i_lose_all_my_hair_in_the_winter_and_it_grows/
+  sentences:
+  - But yes, I like the was you put that the negative wouldn’t gain traction, I told
+    my therapist that (not in your words) and she thought it was very interesting.
+  - https://reddit.com/r/tressless/comments/140rdo4/i_lose_all_my_hair_in_the_winter_and_it_grows/
+  - I'm falling apart About 2 years back I was going to kill myself but my dad pulling
+    in the driveway prevented me from doing it. I was ready that day, I truly did
+    not want to live anymore. I continued pushing on but there hasn't been a day that
+    has passed where I haven't thought about killing myself. I feel so depressed and
+    out of touch with everyone. I'm 18 now and I go to school with a smile trying
+    to make everyone I see laugh. I'm so scared one day I'm gonna be overwhelmed with
+    that feeling I got 2 years ago and kill myself. I don't wanna tell my parents
+    because there struggling with there own problems. I never told anyone how I'm
+    really feeling. I don't wanna seem weak to my family because they have been through
+    more than me. I don't know what to do.
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+
+# SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) <!-- at revision c9745ed1d9f207416be6d2e6f8de32d1f16199bf -->
+- **Maximum Sequence Length:** 256 tokens
+- **Output Dimensionality:** 384 dimensions
+- **Similarity Function:** Cosine Similarity
+<!-- - **Training Dataset:** Unknown -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers)
+- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+
+### Full Model Architecture
+
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False, 'architecture': 'BertModel'})
+  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
+  (2): Normalize()
+)
+```
+
+## Usage
+
+### Direct Usage (Sentence Transformers)
+
+First install the Sentence Transformers library:
+
+```bash
+pip install -U sentence-transformers
+```
+
+Then you can load this model and run inference.
+```python
+from sentence_transformers import SentenceTransformer
+
+# Download from the 🤗 Hub
+model = SentenceTransformer("FritzStack/tsdae-model")
+# Run inference
+sentences = [
+    '//reddit.com/r/tressless/comments/140rdo4/i_lose_all_my_hair_in_the_winter_and_it_grows/',
+    'https://reddit.com/r/tressless/comments/140rdo4/i_lose_all_my_hair_in_the_winter_and_it_grows/',
+    "I'm falling apart About 2 years back I was going to kill myself but my dad pulling in the driveway prevented me from doing it. I was ready that day, I truly did not want to live anymore. I continued pushing on but there hasn't been a day that has passed where I haven't thought about killing myself. I feel so depressed and out of touch with everyone. I'm 18 now and I go to school with a smile trying to make everyone I see laugh. I'm so scared one day I'm gonna be overwhelmed with that feeling I got 2 years ago and kill myself. I don't wanna tell my parents because there struggling with there own problems. I never told anyone how I'm really feeling. I don't wanna seem weak to my family because they have been through more than me. I don't know what to do.",
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 384]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities)
+# tensor([[ 1.0000,  0.9741, -0.4935],
+#         [ 0.9741,  1.0000, -0.4393],
+#         [-0.4935, -0.4393,  1.0000]])
+```
+
+<!--
+### Direct Usage (Transformers)
+
+<details><summary>Click to see the direct usage in Transformers</summary>
+
+</details>
+-->
+
+<!--
+### Downstream Usage (Sentence Transformers)
+
+You can finetune this model on your own dataset.
+
+<details><summary>Click to expand</summary>
+
+</details>
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Dataset
+
+#### Unnamed Dataset
+
+* Size: 157,108 training samples
+* Columns: <code>sentence_0</code> and <code>sentence_1</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | sentence_0                                                                         | sentence_1                                                                         |
+  |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
+  | type    | string                                                                             | string                                                                             |
+  | details | <ul><li>min: 3 tokens</li><li>mean: 24.65 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 56.22 tokens</li><li>max: 256 tokens</li></ul> |
+* Samples:
+  | sentence_0                                                                 | sentence_1                                                                                                                                             |
+  |:---------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>pleased you hope your meds help you</code>                           | <code>Im pleased you reached out and I hope your meds will help you please take care and stay safe</code>                                              |
+  | <code>google ”</code>                                                      | <code>Just google searched “mental illness”</code>                                                                                                     |
+  | <code>ago stoping these substances take for brain back to “ normal.</code> | <code>I read somewhere years ago that when stoping these substances it can take up to 3 months for you brain to regulate, get back to “normal”.</code> |
+* Loss: [<code>DenoisingAutoEncoderLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#denoisingautoencoderloss)
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `num_train_epochs`: 1
+- `multi_dataset_batch_sampler`: round_robin
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: no
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 8
+- `per_device_eval_batch_size`: 8
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 1
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 5e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1
+- `num_train_epochs`: 1
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.0
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `save_safetensors`: True
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `no_cuda`: False
+- `use_cpu`: False
+- `use_mps_device`: False
+- `seed`: 42
+- `data_seed`: None
+- `jit_mode_eval`: False
+- `bf16`: False
+- `fp16`: False
+- `fp16_opt_level`: O1
+- `half_precision_backend`: auto
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: None
+- `local_rank`: 0
+- `ddp_backend`: None
+- `tpu_num_cores`: None
+- `tpu_metrics_debug`: False
+- `debug`: []
+- `dataloader_drop_last`: False
+- `dataloader_num_workers`: 0
+- `dataloader_prefetch_factor`: None
+- `past_index`: -1
+- `disable_tqdm`: False
+- `remove_unused_columns`: True
+- `label_names`: None
+- `load_best_model_at_end`: False
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_min_num_params`: 0
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `fsdp_transformer_layer_cls_to_wrap`: None
+- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
+- `parallelism_config`: None
+- `deepspeed`: None
+- `label_smoothing_factor`: 0.0
+- `optim`: adamw_torch_fused
+- `optim_args`: None
+- `adafactor`: False
+- `group_by_length`: False
+- `length_column_name`: length
+- `project`: huggingface
+- `trackio_space_id`: trackio
+- `ddp_find_unused_parameters`: None
+- `ddp_bucket_cap_mb`: None
+- `ddp_broadcast_buffers`: False
+- `dataloader_pin_memory`: True
+- `dataloader_persistent_workers`: False
+- `skip_memory_metrics`: True
+- `use_legacy_prediction_loop`: False
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: None
+- `hub_always_push`: False
+- `hub_revision`: None
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `include_for_metrics`: []
+- `eval_do_concat_batches`: True
+- `fp16_backend`: auto
+- `push_to_hub_model_id`: None
+- `push_to_hub_organization`: None
+- `mp_parameters`: 
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `torchdynamo`: None
+- `ray_scope`: last
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `include_tokens_per_second`: False
+- `include_num_input_tokens_seen`: no
+- `neftune_noise_alpha`: None
+- `optim_target_modules`: None
+- `batch_eval_metrics`: False
+- `eval_on_start`: False
+- `use_liger_kernel`: False
+- `liger_kernel_config`: None
+- `eval_use_gather_object`: False
+- `average_tokens_across_devices`: True
+- `prompts`: None
+- `batch_sampler`: batch_sampler
+- `multi_dataset_batch_sampler`: round_robin
+- `router_mapping`: {}
+- `learning_rate_mapping`: {}
+
+</details>
+
+### Training Logs
+| Epoch  | Step  | Training Loss |
+|:------:|:-----:|:-------------:|
+| 0.0255 | 500   | 5.9336        |
+| 0.0509 | 1000  | 5.1205        |
+| 0.0764 | 1500  | 4.934         |
+| 0.1018 | 2000  | 4.8384        |
+| 0.1273 | 2500  | 4.7276        |
+| 0.1528 | 3000  | 4.654         |
+| 0.1782 | 3500  | 4.5868        |
+| 0.2037 | 4000  | 4.5503        |
+| 0.2291 | 4500  | 4.5123        |
+| 0.2546 | 5000  | 4.4886        |
+| 0.2801 | 5500  | 4.4341        |
+| 0.3055 | 6000  | 4.4278        |
+| 0.3310 | 6500  | 4.3816        |
+| 0.3564 | 7000  | 4.3648        |
+| 0.3819 | 7500  | 4.3486        |
+| 0.4074 | 8000  | 4.3359        |
+| 0.4328 | 8500  | 4.311         |
+| 0.4583 | 9000  | 4.295         |
+| 0.4837 | 9500  | 4.2785        |
+| 0.5092 | 10000 | 4.2641        |
+| 0.5347 | 10500 | 4.2305        |
+| 0.5601 | 11000 | 4.2154        |
+| 0.5856 | 11500 | 4.2179        |
+| 0.6110 | 12000 | 4.1968        |
+| 0.6365 | 12500 | 4.1837        |
+| 0.6619 | 13000 | 4.1837        |
+| 0.6874 | 13500 | 4.1697        |
+| 0.7129 | 14000 | 4.1413        |
+| 0.7383 | 14500 | 4.1228        |
+| 0.7638 | 15000 | 4.1159        |
+| 0.7892 | 15500 | 4.1147        |
+| 0.8147 | 16000 | 4.1081        |
+| 0.8402 | 16500 | 4.1114        |
+| 0.8656 | 17000 | 4.1163        |
+| 0.8911 | 17500 | 4.075         |
+| 0.9165 | 18000 | 4.0956        |
+| 0.9420 | 18500 | 4.0727        |
+| 0.9675 | 19000 | 4.0739        |
+| 0.9929 | 19500 | 4.0511        |
+
+
+### Framework Versions
+- Python: 3.12.12
+- Sentence Transformers: 5.1.2
+- Transformers: 4.57.1
+- PyTorch: 2.8.0+cu126
+- Accelerate: 1.11.0
+- Datasets: 4.0.0
+- Tokenizers: 0.22.1
+
+## Citation
+
+### BibTeX
+
+#### Sentence Transformers
+```bibtex
+@inproceedings{reimers-2019-sentence-bert,
+    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
+    author = "Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
+    month = "11",
+    year = "2019",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/1908.10084",
+}
+```
+
+#### DenoisingAutoEncoderLoss
+```bibtex
+@inproceedings{wang-2021-TSDAE,
+    title = "TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning",
+    author = "Wang, Kexin and Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
+    month = nov,
+    year = "2021",
+    address = "Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    pages = "671--688",
+    url = "https://arxiv.org/abs/2104.06979",
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

config_sentence_transformers.json

@@ -0,0 +1,14 @@
+{
+  "__version__": {
+    "sentence_transformers": "5.1.2",
+    "transformers": "4.57.1",
+    "pytorch": "2.8.0+cu126"
+  },
+  "model_type": "SentenceTransformer",
+  "prompts": {
+    "query": "",
+    "document": ""
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02502b07bb0afb3251b595a519e26d06a2aa4e13156c83a8fb10d97d504f1741
+size 90864192

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+    "max_seq_length": 256,
+    "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,65 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+    },
+    "101": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 256,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}