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PawK

Add new SentenceTransformer model

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metadata

tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:769
  - loss:TripletLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget:
  - source_sentence: >-
      Threat 4 from Webb Telescope attack Threat involving Threat 4 from Webb
      Telescope attack
    sentences:
      - >-
        CVE-2023-32315: SIMULATED-2 This is a simulated vulnerability for
        testing with keyword: Webb Telescope malware malware Planned 2025-07-03
        Webb Telescope malware Risk Score: 2.3250024468186274 Severity: Medium
        Exploitability: Moderate Impact: Moderate Affected: Cybersecurity Inc
        Components Manufacturers: Cybersecurity Inc
      - >-
        CVE-2021-44228: SIMULATED-2 This is a simulated vulnerability for
        testing with keyword: James Webb zero-day security Yes 2025-07-27 James
        Webb zero-day Risk Score: 9.33523888707411 Severity: Medium
        Exploitability: Easy Impact: Minimal Affected: Tech Industries
        Components Manufacturers: Tech Industries
      - >-
        CVE-2023-28771: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: Webb Telescope attack security Planned 2025-09-03
        Webb Telescope attack Risk Score: 7.910183068674785 Severity: High
        Exploitability: Easy Impact: Significant Affected: Cybersecurity Inc
        Components Manufacturers: Cybersecurity Inc
  - source_sentence: Asset related to Asset 3 from James Webb breach
    sentences:
      - >-
        CVE-2023-28252: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: James Webb vulnerability security No 2025-05-27
        James Webb vulnerability Risk Score: 9.116434284552039 Severity: High
        Exploitability: Easy Impact: Critical Affected: Tech Industries
        Components Manufacturers: Tech Industries
      - >-
        CVE-2023-3456: SIMULATED-3 This is a simulated vulnerability for testing
        with keyword: James Webb Space Telescope vulnerability security Planned
        2025-07-03 James Webb Space Telescope vulnerability Risk Score:
        1.5626863507048951 Severity: Critical Exploitability: Difficult Impact:
        Critical Affected: Cybersecurity Inc Components Manufacturers:
        Cybersecurity Inc
      - >-
        CVE-2022-0847: SIMULATED-2 This is a simulated vulnerability for testing
        with keyword: James Webb breach security No 2025-06-05 James Webb breach
        Risk Score: 0.7498772749381853 Severity: Critical Exploitability:
        Moderate Impact: Critical Affected: Generic Corp Components
        Manufacturers: Generic Corp
  - source_sentence: Asset related to Asset 1 from James Webb compromise
    sentences:
      - >-
        CVE-2023-21036: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: James Webb compromise security Yes 2025-08-12
        James Webb compromise Risk Score: 1.466943045675584 Severity: Medium
        Exploitability: Moderate Impact: Minimal Affected: Cybersecurity Inc
        Components Manufacturers: Cybersecurity Inc
      - >-
        CVE-2023-28252: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: James Webb Space Telescope backdoor security Yes
        2025-06-13 James Webb Space Telescope backdoor Risk Score:
        6.897957432102774 Severity: High Exploitability: Easy Impact: Critical
        Affected: Tech Industries Components Manufacturers: Tech Industries
      - >-
        CVE-2023-20593: SIMULATED-2 This is a simulated vulnerability for
        testing with keyword: James Webb Space Telescope zero-day security
        Planned 2025-09-15 James Webb Space Telescope zero-day Risk Score:
        4.807544962373069 Severity: Medium Exploitability: Difficult Impact:
        Moderate Affected: Cybersecurity Inc Components Manufacturers:
        Cybersecurity Inc
  - source_sentence: Asset related to Asset 5 from James Webb exploit
    sentences:
      - >-
        CVE-2021-44228: SIMULATED-2 This is a simulated vulnerability for
        testing with keyword: James Webb Space Telescope CVE security Planned
        2025-08-01 James Webb Space Telescope CVE Risk Score: 7.144540574225763
        Severity: Critical Exploitability: Difficult Impact: Significant
        Affected: Tech Industries Components Manufacturers: Tech Industries
      - >-
        CVE-2023-3456: SIMULATED-2 This is a simulated vulnerability for testing
        with keyword: James Webb exploit security Planned 2025-08-26 James Webb
        exploit Risk Score: 1.396273246176086 Severity: Critical Exploitability:
        Difficult Impact: Critical Affected: Cybersecurity Inc Components
        Manufacturers: Cybersecurity Inc
      - >-
        CVE-2023-28771: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: Webb Telescope malware malware No 2025-08-02 Webb
        Telescope malware Risk Score: 9.0156256675314 Severity: High
        Exploitability: Difficult Impact: Minimal Affected: Cybersecurity Inc
        Components Manufacturers: Cybersecurity Inc
  - source_sentence: >-
      Threat 4 from Ball Aerospace James Webb Telescope security vulnerability
      Threat involving Threat 4 from Ball Aerospace James Webb Telescope
      security vulnerability
    sentences:
      - >-
        CVE-2023-28252: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: Webb Telescope exploit security Planned 2025-09-07
        Webb Telescope exploit Risk Score: 9.237024480525717 Severity: High
        Exploitability: Moderate Impact: Critical Affected: Cybersecurity Inc
        Components Manufacturers: Cybersecurity Inc
      - >-
        CVE-2023-29360: SIMULATED-1 This is a simulated vulnerability for
        testing with keyword: Ball Aerospace James Webb Telescope security
        vulnerability security Yes 2025-07-01 Ball Aerospace James Webb
        Telescope security vulnerability Risk Score: 6.194262717622377 Severity:
        Critical Exploitability: Moderate Impact: Significant Affected: Tech
        Industries Components Manufacturers: Tech Industries
      - >-
        CVE-2023-32315: SIMULATED-2 This is a simulated vulnerability for
        testing with keyword: James Webb Space Telescope compromise security No
        2025-08-02 James Webb Space Telescope compromise Risk Score:
        5.359379620388373 Severity: Critical Exploitability: Easy Impact:
        Minimal Affected: Cybersecurity Inc Components Manufacturers:
        Cybersecurity Inc
pipeline_tag: sentence-similarity
library_name: sentence-transformers

SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2 on the json dataset. 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
Maximum Sequence Length: 256 tokens
Output Dimensionality: 384 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- json

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: 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:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("PawK/GIS4MODEL")
# Run inference
sentences = [
    'Threat 4 from Ball Aerospace James Webb Telescope security vulnerability Threat involving Threat 4 from Ball Aerospace James Webb Telescope security vulnerability',
    'CVE-2023-29360: SIMULATED-1 This is a simulated vulnerability for testing with keyword: Ball Aerospace James Webb Telescope security vulnerability security Yes 2025-07-01 Ball Aerospace James Webb Telescope security vulnerability Risk Score: 6.194262717622377 Severity: Critical Exploitability: Moderate Impact: Significant Affected: Tech Industries Components Manufacturers: Tech Industries',
    'CVE-2023-32315: SIMULATED-2 This is a simulated vulnerability for testing with keyword: James Webb Space Telescope compromise security No 2025-08-02 James Webb Space Telescope compromise Risk Score: 5.359379620388373 Severity: Critical Exploitability: Easy Impact: Minimal Affected: Cybersecurity Inc Components Manufacturers: Cybersecurity Inc',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

json

Dataset: json
Size: 769 training samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 769 samples:

	anchor	positive	negative
type	string	string	string
details	min: 11 tokens mean: 15.14 tokens max: 30 tokens	min: 70 tokens mean: 78.26 tokens max: 89 tokens	min: 70 tokens mean: 78.31 tokens max: 89 tokens

Samples:

anchor	positive	negative
`Asset related to Asset 2 from Ball Aerospace James Webb Telescope security vulnerability`	`CVE-2023-36036: SIMULATED-3 This is a simulated vulnerability for testing with keyword: Ball Aerospace James Webb Telescope security vulnerability security No 2025-09-05 Ball Aerospace James Webb Telescope security vulnerability Risk Score: 2.1667727327059936 Severity: High Exploitability: Moderate Impact: Minimal Affected: Generic Corp Components Manufacturers: Generic Corp`	`CVE-2023-29360: SIMULATED-3 This is a simulated vulnerability for testing with keyword: Webb Telescope attack security Planned 2025-07-15 Webb Telescope attack Risk Score: 7.06990194191305 Severity: Medium Exploitability: Easy Impact: Minimal Affected: Cybersecurity Inc Components Manufacturers: Cybersecurity Inc`
`Asset related to Asset 3 from James Webb malware`	`CVE-2022-0847: SIMULATED-5 This is a simulated vulnerability for testing with keyword: James Webb malware malware Planned 2025-06-18 James Webb malware Risk Score: 3.346935150769055 Severity: Medium Exploitability: Easy Impact: Minimal Affected: Cybersecurity Inc Components Manufacturers: Cybersecurity Inc`	`CVE-2023-32315: SIMULATED-3 This is a simulated vulnerability for testing with keyword: James Webb CVE security No 2025-07-09 James Webb CVE Risk Score: 5.640697982524985 Severity: Low Exploitability: Moderate Impact: Minimal Affected: Tech Industries Components Manufacturers: Tech Industries`
`Asset related to Asset 3 from Webb Telescope backdoor`	`CVE-2023-32315: SIMULATED-4 This is a simulated vulnerability for testing with keyword: Webb Telescope backdoor security Yes 2025-09-13 Webb Telescope backdoor Risk Score: 4.6647547554970785 Severity: Medium Exploitability: Difficult Impact: Significant Affected: Tech Industries Components Manufacturers: Tech Industries`	`CVE-2023-29360: SIMULATED-4 This is a simulated vulnerability for testing with keyword: Ball Aerospace James Webb Telescope security vulnerability security Yes 2025-09-13 Ball Aerospace James Webb Telescope security vulnerability Risk Score: 0.5088432907602923 Severity: Medium Exploitability: Difficult Impact: Critical Affected: Generic Corp Components Manufacturers: Generic Corp`

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.COSINE",
    "triplet_margin": 5
}

Evaluation Dataset

json

Dataset: json
Size: 193 evaluation samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 193 samples:

	anchor	positive	negative
type	string	string	string
details	min: 11 tokens mean: 15.33 tokens max: 30 tokens	min: 70 tokens mean: 78.34 tokens max: 89 tokens	min: 70 tokens mean: 77.8 tokens max: 88 tokens

Samples:

anchor	positive	negative
`Asset related to Asset 1 from James Webb backdoor`	`CVE-2023-3456: SIMULATED-3 This is a simulated vulnerability for testing with keyword: James Webb backdoor security Yes 2025-07-13 James Webb backdoor Risk Score: 0.8440758738483046 Severity: Medium Exploitability: Difficult Impact: Critical Affected: Cybersecurity Inc Components Manufacturers: Cybersecurity Inc`	`CVE-2023-28771: SIMULATED-2 This is a simulated vulnerability for testing with keyword: Webb Telescope compromise security No 2025-06-15 Webb Telescope compromise Risk Score: 1.310545683795466 Severity: Medium Exploitability: Moderate Impact: Significant Affected: Generic Corp Components Manufacturers: Generic Corp`
`Asset related to Asset 4 from James Webb breach`	`CVE-2023-3456: SIMULATED-3 This is a simulated vulnerability for testing with keyword: James Webb breach security No 2025-08-12 James Webb breach Risk Score: 3.4028923165168137 Severity: Medium Exploitability: Easy Impact: Critical Affected: Generic Corp Components Manufacturers: Generic Corp`	`CVE-2023-21036: SIMULATED-2 This is a simulated vulnerability for testing with keyword: James Webb Space Telescope security security Yes 2025-10-06 James Webb Space Telescope security Risk Score: 3.0882717202625423 Severity: Critical Exploitability: Easy Impact: Moderate Affected: Tech Industries Components Manufacturers: Tech Industries`
`Asset related to Asset 3 from James Webb Space Telescope security`	`CVE-2023-32315: SIMULATED-1 This is a simulated vulnerability for testing with keyword: James Webb Space Telescope security security Yes 2025-09-03 James Webb Space Telescope security Risk Score: 6.962623430566551 Severity: High Exploitability: Moderate Impact: Significant Affected: Generic Corp Components Manufacturers: Generic Corp`	`CVE-2023-28771: SIMULATED-1 This is a simulated vulnerability for testing with keyword: James Webb Space Telescope threat security No 2025-09-23 James Webb Space Telescope threat Risk Score: 7.572013580016532 Severity: Low Exploitability: Moderate Impact: Moderate Affected: Tech Industries Components Manufacturers: Tech Industries`

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.COSINE",
    "triplet_margin": 5
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
num_train_epochs: 4
warmup_ratio: 0.1
batch_sampler: no_duplicates

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
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: 1.0
num_train_epochs: 4
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
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
use_ipex: 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}
tp_size: 0
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}
deepspeed: None
label_smoothing_factor: 0.0
optim: adamw_torch
optim_args: None
adafactor: False
group_by_length: False
length_column_name: length
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
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: False
neftune_noise_alpha: None
optim_target_modules: None
batch_eval_metrics: False
eval_on_start: False
use_liger_kernel: False
eval_use_gather_object: False
average_tokens_across_devices: False
prompts: None
batch_sampler: no_duplicates
multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss	Validation Loss
2.0	50	4.0999	-
2.32	60	4.0104	-
2.7200	70	4.0787	-
3.12	80	3.9972	-
3.52	90	3.9994	-
3.92	100	4.0216	3.8883

Framework Versions

Python: 3.13.3
Sentence Transformers: 4.1.0
Transformers: 4.51.3
PyTorch: 2.6.0+cpu
Accelerate: 1.6.0
Datasets: 3.5.0
Tokenizers: 0.21.1

Citation

BibTeX

Sentence Transformers

@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",
}

TripletLoss

@misc{hermans2017defense,
    title={In Defense of the Triplet Loss for Person Re-Identification},
    author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
    year={2017},
    eprint={1703.07737},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}