Push model using huggingface_hub.
Browse files- 1_Pooling/config.json +10 -0
- README.md +428 -0
- config.json +45 -0
- config_sentence_transformers.json +14 -0
- config_setfit.json +4 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +20 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- setfit
|
| 4 |
+
- sentence-transformers
|
| 5 |
+
- text-classification
|
| 6 |
+
- generated_from_setfit_trainer
|
| 7 |
+
widget:
|
| 8 |
+
- text: we are determined to reinvigorate our political dialogue including on strategic
|
| 9 |
+
issues, such as energy security and counter terrorism.
|
| 10 |
+
- text: We are committed to making full use of the potential of existing NATO-Russia
|
| 11 |
+
agreements and invite Russia to do likewise.
|
| 12 |
+
- text: and the fact that this treaty is now is in jeopardy and that time is running
|
| 13 |
+
out for saving the treaty, of course, it’s extremely serious for arms control.
|
| 14 |
+
- text: so, this is a modernization of the nuclear deterrent we have for many years.
|
| 15 |
+
- text: i just had a professional exchange with minister lavrov, where we covered
|
| 16 |
+
a wide range of different issues, including the inf treaty, ukraine, afghanistan,
|
| 17 |
+
and also the general need for dialogue nato-russia, which covers issues as risk
|
| 18 |
+
reduction, transparency and how to brief each other on, for instance, upcoming
|
| 19 |
+
exercises.
|
| 20 |
+
metrics:
|
| 21 |
+
- accuracy
|
| 22 |
+
pipeline_tag: text-classification
|
| 23 |
+
library_name: setfit
|
| 24 |
+
inference: true
|
| 25 |
+
base_model: nomic-ai/modernbert-embed-base
|
| 26 |
+
model-index:
|
| 27 |
+
- name: SetFit with nomic-ai/modernbert-embed-base
|
| 28 |
+
results:
|
| 29 |
+
- task:
|
| 30 |
+
type: text-classification
|
| 31 |
+
name: Text Classification
|
| 32 |
+
dataset:
|
| 33 |
+
name: Unknown
|
| 34 |
+
type: unknown
|
| 35 |
+
split: test
|
| 36 |
+
metrics:
|
| 37 |
+
- type: accuracy
|
| 38 |
+
value: 0.9168443496801706
|
| 39 |
+
name: Accuracy
|
| 40 |
+
---
|
| 41 |
+
|
| 42 |
+
# SetFit with nomic-ai/modernbert-embed-base
|
| 43 |
+
|
| 44 |
+
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [nomic-ai/modernbert-embed-base](https://huggingface.co/nomic-ai/modernbert-embed-base) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
|
| 45 |
+
|
| 46 |
+
The model has been trained using an efficient few-shot learning technique that involves:
|
| 47 |
+
|
| 48 |
+
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
|
| 49 |
+
2. Training a classification head with features from the fine-tuned Sentence Transformer.
|
| 50 |
+
|
| 51 |
+
## Model Details
|
| 52 |
+
|
| 53 |
+
### Model Description
|
| 54 |
+
- **Model Type:** SetFit
|
| 55 |
+
- **Sentence Transformer body:** [nomic-ai/modernbert-embed-base](https://huggingface.co/nomic-ai/modernbert-embed-base)
|
| 56 |
+
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
|
| 57 |
+
- **Maximum Sequence Length:** 8192 tokens
|
| 58 |
+
- **Number of Classes:** 2 classes
|
| 59 |
+
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
|
| 60 |
+
<!-- - **Language:** Unknown -->
|
| 61 |
+
<!-- - **License:** Unknown -->
|
| 62 |
+
|
| 63 |
+
### Model Sources
|
| 64 |
+
|
| 65 |
+
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
|
| 66 |
+
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
|
| 67 |
+
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
|
| 68 |
+
|
| 69 |
+
### Model Labels
|
| 70 |
+
| Label | Examples |
|
| 71 |
+
|:------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 72 |
+
| 0 | <ul><li>'there has been significant reconstruction and development, especially in the north of the country, and afghanistan’s gross national product has tripled over the past few years.'</li><li>'a number of commentators wrongly analysed the debate of last february as the end of the alliance.'</li><li>'china has the right to, as all other nations to exercise their forces.'</li></ul> |
|
| 73 |
+
| 1 | <ul><li>'but we also need to take into account the security consequence for us here by the rise of china, investing in hypersonic glide vehicles, long range … significantly increasing their nuclear arsenals.'</li><li>'as a first step, we are proposing mutual briefings on exercises and nuclear policies in the nato-russia council.'</li><li>"We underscore that Russia's irresponsible nuclear rhetoric is unacceptable and that any use of nuclear weapons would meet with unequivocal international condemnation and severe consequences."</li></ul> |
|
| 74 |
+
|
| 75 |
+
## Evaluation
|
| 76 |
+
|
| 77 |
+
### Metrics
|
| 78 |
+
| Label | Accuracy |
|
| 79 |
+
|:--------|:---------|
|
| 80 |
+
| **all** | 0.9168 |
|
| 81 |
+
|
| 82 |
+
## Uses
|
| 83 |
+
|
| 84 |
+
### Direct Use for Inference
|
| 85 |
+
|
| 86 |
+
First install the SetFit library:
|
| 87 |
+
|
| 88 |
+
```bash
|
| 89 |
+
pip install setfit
|
| 90 |
+
```
|
| 91 |
+
|
| 92 |
+
Then you can load this model and run inference.
|
| 93 |
+
|
| 94 |
+
```python
|
| 95 |
+
from setfit import SetFitModel
|
| 96 |
+
|
| 97 |
+
# Download from the 🤗 Hub
|
| 98 |
+
model = SetFitModel.from_pretrained("fefofico/nuclear_trained")
|
| 99 |
+
# Run inference
|
| 100 |
+
preds = model("so, this is a modernization of the nuclear deterrent we have for many years.")
|
| 101 |
+
```
|
| 102 |
+
|
| 103 |
+
<!--
|
| 104 |
+
### Downstream Use
|
| 105 |
+
|
| 106 |
+
*List how someone could finetune this model on their own dataset.*
|
| 107 |
+
-->
|
| 108 |
+
|
| 109 |
+
<!--
|
| 110 |
+
### Out-of-Scope Use
|
| 111 |
+
|
| 112 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
| 113 |
+
-->
|
| 114 |
+
|
| 115 |
+
<!--
|
| 116 |
+
## Bias, Risks and Limitations
|
| 117 |
+
|
| 118 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
| 119 |
+
-->
|
| 120 |
+
|
| 121 |
+
<!--
|
| 122 |
+
### Recommendations
|
| 123 |
+
|
| 124 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
| 125 |
+
-->
|
| 126 |
+
|
| 127 |
+
## Training Details
|
| 128 |
+
|
| 129 |
+
### Training Set Metrics
|
| 130 |
+
| Training set | Min | Median | Max |
|
| 131 |
+
|:-------------|:----|:--------|:----|
|
| 132 |
+
| Word count | 2 | 24.7149 | 132 |
|
| 133 |
+
|
| 134 |
+
| Label | Training Sample Count |
|
| 135 |
+
|:------|:----------------------|
|
| 136 |
+
| 0 | 1017 |
|
| 137 |
+
| 1 | 856 |
|
| 138 |
+
|
| 139 |
+
### Training Hyperparameters
|
| 140 |
+
- batch_size: (20, 20)
|
| 141 |
+
- num_epochs: (20, 20)
|
| 142 |
+
- max_steps: -1
|
| 143 |
+
- sampling_strategy: oversampling
|
| 144 |
+
- num_iterations: 3
|
| 145 |
+
- body_learning_rate: (2e-05, 1e-05)
|
| 146 |
+
- head_learning_rate: 0.01
|
| 147 |
+
- loss: CosineSimilarityLoss
|
| 148 |
+
- distance_metric: cosine_distance
|
| 149 |
+
- margin: 0.25
|
| 150 |
+
- end_to_end: False
|
| 151 |
+
- use_amp: False
|
| 152 |
+
- warmup_proportion: 0.1
|
| 153 |
+
- l2_weight: 0.01
|
| 154 |
+
- seed: 42
|
| 155 |
+
- eval_max_steps: -1
|
| 156 |
+
- load_best_model_at_end: False
|
| 157 |
+
|
| 158 |
+
### Training Results
|
| 159 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
| 160 |
+
|:-------:|:-----:|:-------------:|:---------------:|
|
| 161 |
+
| 0.0018 | 1 | 0.258 | - |
|
| 162 |
+
| 0.0890 | 50 | 0.2535 | - |
|
| 163 |
+
| 0.1779 | 100 | 0.2445 | - |
|
| 164 |
+
| 0.2669 | 150 | 0.2423 | - |
|
| 165 |
+
| 0.3559 | 200 | 0.2315 | - |
|
| 166 |
+
| 0.4448 | 250 | 0.2077 | - |
|
| 167 |
+
| 0.5338 | 300 | 0.1586 | - |
|
| 168 |
+
| 0.6228 | 350 | 0.136 | - |
|
| 169 |
+
| 0.7117 | 400 | 0.1016 | - |
|
| 170 |
+
| 0.8007 | 450 | 0.0879 | - |
|
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| 0.8897 | 500 | 0.0641 | - |
|
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| 0.9786 | 550 | 0.0523 | - |
|
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| 1.0676 | 600 | 0.0456 | - |
|
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| 1.1566 | 650 | 0.0358 | - |
|
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| 1.2456 | 700 | 0.0243 | - |
|
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| 1.3345 | 750 | 0.0197 | - |
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| 1.8683 | 1050 | 0.0124 | - |
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| 1.9573 | 1100 | 0.0118 | - |
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| 2.0463 | 1150 | 0.0074 | - |
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| 2.1352 | 1200 | 0.0045 | - |
|
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| 2.2242 | 1250 | 0.0036 | - |
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| 2.4021 | 1350 | 0.0032 | - |
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| 2.4911 | 1400 | 0.0012 | - |
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| 16.0142 | 9000 | 0.0 | - |
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| 16.1032 | 9050 | 0.0 | - |
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| 16.2811 | 9150 | 0.0 | - |
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| 16.3701 | 9200 | 0.0 | - |
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| 16.4591 | 9250 | 0.0 | - |
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| 16.5480 | 9300 | 0.0 | - |
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| 16.7260 | 9400 | 0.0 | - |
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| 16.8149 | 9450 | 0.0 | - |
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| 16.9039 | 9500 | 0.0 | - |
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| 16.9929 | 9550 | 0.0 | - |
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+
| 17.0819 | 9600 | 0.0 | - |
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+
| 17.1708 | 9650 | 0.0 | - |
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+
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| 17.3488 | 9750 | 0.0 | - |
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+
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| 17.5267 | 9850 | 0.0 | - |
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+
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|
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| 17.7046 | 9950 | 0.0 | - |
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+
| 17.7936 | 10000 | 0.0 | - |
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+
| 17.8826 | 10050 | 0.0 | - |
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+
| 17.9715 | 10100 | 0.0 | - |
|
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+
| 18.0605 | 10150 | 0.0 | - |
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| 18.1495 | 10200 | 0.0 | - |
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+
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+
| 18.3274 | 10300 | 0.0 | - |
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| 368 |
+
| 18.4164 | 10350 | 0.0 | - |
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| 369 |
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| 18.5053 | 10400 | 0.0 | - |
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| 370 |
+
| 18.5943 | 10450 | 0.0 | - |
|
| 371 |
+
| 18.6833 | 10500 | 0.0 | - |
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| 372 |
+
| 18.7722 | 10550 | 0.0 | - |
|
| 373 |
+
| 18.8612 | 10600 | 0.0 | - |
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| 374 |
+
| 18.9502 | 10650 | 0.0 | - |
|
| 375 |
+
| 19.0391 | 10700 | 0.0 | - |
|
| 376 |
+
| 19.1281 | 10750 | 0.0 | - |
|
| 377 |
+
| 19.2171 | 10800 | 0.0 | - |
|
| 378 |
+
| 19.3060 | 10850 | 0.0 | - |
|
| 379 |
+
| 19.3950 | 10900 | 0.0 | - |
|
| 380 |
+
| 19.4840 | 10950 | 0.0 | - |
|
| 381 |
+
| 19.5730 | 11000 | 0.0 | - |
|
| 382 |
+
| 19.6619 | 11050 | 0.0 | - |
|
| 383 |
+
| 19.7509 | 11100 | 0.0 | - |
|
| 384 |
+
| 19.8399 | 11150 | 0.0 | - |
|
| 385 |
+
| 19.9288 | 11200 | 0.0 | - |
|
| 386 |
+
|
| 387 |
+
### Framework Versions
|
| 388 |
+
- Python: 3.12.12
|
| 389 |
+
- SetFit: 1.1.3
|
| 390 |
+
- Sentence Transformers: 5.1.2
|
| 391 |
+
- Transformers: 4.57.1
|
| 392 |
+
- PyTorch: 2.8.0+cu126
|
| 393 |
+
- Datasets: 4.0.0
|
| 394 |
+
- Tokenizers: 0.22.1
|
| 395 |
+
|
| 396 |
+
## Citation
|
| 397 |
+
|
| 398 |
+
### BibTeX
|
| 399 |
+
```bibtex
|
| 400 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
| 401 |
+
doi = {10.48550/ARXIV.2209.11055},
|
| 402 |
+
url = {https://arxiv.org/abs/2209.11055},
|
| 403 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
| 404 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
| 405 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
| 406 |
+
publisher = {arXiv},
|
| 407 |
+
year = {2022},
|
| 408 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
| 409 |
+
}
|
| 410 |
+
```
|
| 411 |
+
|
| 412 |
+
<!--
|
| 413 |
+
## Glossary
|
| 414 |
+
|
| 415 |
+
*Clearly define terms in order to be accessible across audiences.*
|
| 416 |
+
-->
|
| 417 |
+
|
| 418 |
+
<!--
|
| 419 |
+
## Model Card Authors
|
| 420 |
+
|
| 421 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
| 422 |
+
-->
|
| 423 |
+
|
| 424 |
+
<!--
|
| 425 |
+
## Model Card Contact
|
| 426 |
+
|
| 427 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
| 428 |
+
-->
|
config.json
ADDED
|
@@ -0,0 +1,45 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"ModernBertModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 50281,
|
| 8 |
+
"classifier_activation": "gelu",
|
| 9 |
+
"classifier_bias": false,
|
| 10 |
+
"classifier_dropout": 0.0,
|
| 11 |
+
"classifier_pooling": "mean",
|
| 12 |
+
"cls_token_id": 50281,
|
| 13 |
+
"decoder_bias": true,
|
| 14 |
+
"deterministic_flash_attn": false,
|
| 15 |
+
"dtype": "float32",
|
| 16 |
+
"embedding_dropout": 0.0,
|
| 17 |
+
"eos_token_id": 50282,
|
| 18 |
+
"global_attn_every_n_layers": 3,
|
| 19 |
+
"global_rope_theta": 160000.0,
|
| 20 |
+
"gradient_checkpointing": false,
|
| 21 |
+
"hidden_activation": "gelu",
|
| 22 |
+
"hidden_size": 768,
|
| 23 |
+
"initializer_cutoff_factor": 2.0,
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 1152,
|
| 26 |
+
"layer_norm_eps": 1e-05,
|
| 27 |
+
"local_attention": 128,
|
| 28 |
+
"local_rope_theta": 10000.0,
|
| 29 |
+
"max_position_embeddings": 8192,
|
| 30 |
+
"mlp_bias": false,
|
| 31 |
+
"mlp_dropout": 0.0,
|
| 32 |
+
"model_type": "modernbert",
|
| 33 |
+
"norm_bias": false,
|
| 34 |
+
"norm_eps": 1e-05,
|
| 35 |
+
"num_attention_heads": 12,
|
| 36 |
+
"num_hidden_layers": 22,
|
| 37 |
+
"pad_token_id": 50283,
|
| 38 |
+
"position_embedding_type": "absolute",
|
| 39 |
+
"repad_logits_with_grad": false,
|
| 40 |
+
"sep_token_id": 50282,
|
| 41 |
+
"sparse_pred_ignore_index": -100,
|
| 42 |
+
"sparse_prediction": false,
|
| 43 |
+
"transformers_version": "4.57.1",
|
| 44 |
+
"vocab_size": 50368
|
| 45 |
+
}
|
config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "5.1.2",
|
| 4 |
+
"transformers": "4.57.1",
|
| 5 |
+
"pytorch": "2.8.0+cu126"
|
| 6 |
+
},
|
| 7 |
+
"prompts": {
|
| 8 |
+
"query": "",
|
| 9 |
+
"document": ""
|
| 10 |
+
},
|
| 11 |
+
"default_prompt_name": null,
|
| 12 |
+
"similarity_fn_name": "cosine",
|
| 13 |
+
"model_type": "SentenceTransformer"
|
| 14 |
+
}
|
config_setfit.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"labels": null,
|
| 3 |
+
"normalize_embeddings": false
|
| 4 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f758ec1f1cb92ad24920baa0019357b9c0a8c4023392cb4572e5ce60274fb72a
|
| 3 |
+
size 596070136
|
model_head.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7150f0caf8f44c26008db40123e79a114dfde956e8b4e596422666689729688e
|
| 3 |
+
size 7007
|
modules.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"idx": 2,
|
| 16 |
+
"name": "2",
|
| 17 |
+
"path": "2_Normalize",
|
| 18 |
+
"type": "sentence_transformers.models.Normalize"
|
| 19 |
+
}
|
| 20 |
+
]
|
sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 8192,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
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|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,945 @@
|
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| 1 |
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| 2 |
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| 39 |
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