SentenceTransformer(
  (0): Transformer({'transformer_task': 'feature-extraction', 'modality_config': {'text': {'method': 'forward', 'method_output_name': 'last_hidden_state'}}, 'module_output_name': 'token_embeddings', 'architecture': 'MPNetModel'})
  (1): Pooling({'embedding_dimension': 768, 'pooling_mode': 'mean', '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.

python

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    "Order shows success message but not created when assignee has no assigned warehousen Demo WeComm, while placing a POS Order, select Mary Yed as the Assignee in the Enter Warehouse Pick Details popup.\\nAfter submission, the system displays:\\nOrder placed successfully\\nError message: User doesn't have assigned Warehouse\\nThis is contradictory behavior. Even though a success message is shown, the POS order/order number cannot be found in Customer Orders > Manage Customer Orders.",
    'POS order allows quantity greater than available stock and marks order as deliveredIn Demo WeComm, under Manage Products, the product Viktos Taculus MX Chest Rig Bag shows available stock as 2.\\nHowever, the system allows creation of a POS Order for 3 units of the same product without showing any validation or out-of-stock error. The order is then processed and marked as Delivered.\\nThis indicates inventory validation is not enforced during POS order placement.',
    'Incorrect order number displayed and wrong delivery status message shown in notificationsNavigate to Warehouse > Orders > Customer Orders and open the Notifications panel.\\nTwo issues are observed in order notifications:\\nNotification order number does not match the actual order number shown in the Customer Orders grid.\\nAfter the product/order status is marked as Delivered, the notification message still says \\"Ready for shipping\\" instead of confirming delivery.\\nThis causes confusion for users regarding actual order references and shipment status.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.0924, 0.1173],
#         [0.0924, 1.0000, 0.0839],
#         [0.1173, 0.0839, 1.0000]])

Training Details

Training Dataset

Unnamed Dataset

Size: 242 training samples
Columns: sentence_0, sentence_1, and label
Approximate statistics based on the first 242 samples:
sentence_0 sentence_1 label
type string string float
details
min: 23 tokens
mean: 90.52 tokens
max: 157 tokens
min: 23 tokens
mean: 90.52 tokens
max: 157 tokens
min: 0.04
mean: 0.21
max: 0.62

Samples:

sentence_0	sentence_1	label
[Admin] HTTP 500 / Permission denied error when creating product from Manage ProductsNavigate to Manage Products and click Create Product to open the Create Product UI. After filling all mandatory fields and clicking the Create button, the system throws an HTTP 500 Internal Server Error instead of creating the product successfully.\n \n Observed Error:\n The stream or file "/home/assets.wecomm.info/public_html/storage/logs/activity/laravel-2024-10-01.log" could not be opened in append mode: Failed to open stream: Permission denied	[Admin] Permission denied / Failed to open stream error when submitting Manual Product InboundNavigate to Manage Assets > Manage Products > Products Inbound and select Manual Inbound. Click Create Inbound to open the Product Inbound UI. In the Scan or Search Barcode section, enter a barcode and fill in all required fields. After clicking the Submit button, the system throws an error instead of creating the inbound record successfully.\n \n Observed Error:\n The stream or file "/home/assets.wecomm.info/public_html/storage/logs/activity/laravel-2024-10-01.log" could not be opened in append mode: Failed to open stream: Permission denied	`0.4869`
`Accounting Template Column Displays Incorrect/Random DataWhen navigating to Reports > Customer Orders and opening the Customer Order Details report, the Accounting Template column is displaying random or irrelevant text instead of the actual accounting template associated with the order.`	Update Returned/Exchanged Items section in View Warehouse Return UI to show Accounting Template and Requisition NumberIn the Warehouse > Manage Inventory > Return Items module, selecting the eye icon in the Action column opens the View Warehouse Return UI.\nUnder the Returned/Exchanged Items section, the table should be updated to include the Accounting Template and Requisition Number related to the order.\nAdditionally, the SKU and Condition columns should be removed if they are not required for business operations.	`0.1521`
`Product stock becomes negative after POS delivery and stock count displayed as -1In Demo WeComm > Manage Products, after a POS order was processed and marked as Delivered for Viktos Taculus MX Chest Rig Bag, the product stock updated to -1.\nInventory stock should never become negative. The system allowed fulfillment beyond available quantity and reduced stock below zero.\nAdditionally, the product price is displayed as $95.00 after the transaction.`	`[Admin] Available product quantity not updated after adding stock at product locationAs an Admin, create a product and update the Product Location with stock levels. Even though the selected location shows the product as In Stock, the Available Quantity field does not get updated and remains incorrect.`	`0.16879999999999998`

Loss: CosineSimilarityLoss with these parameters:
json
1{ 2 "loss_fct": "torch.nn.modules.loss.MSELoss", 3 "cos_score_transformation": "torch.nn.modules.linear.Identity" 4}

Training Hyperparameters

Non-Default Hyperparameters

num_train_epochs: 10
multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand

do_predict: False
eval_strategy: no
prediction_loss_only: True
per_device_train_batch_size: 8
per_device_eval_batch_size: 8
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: 10
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: None
warmup_ratio: None
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
enable_jit_checkpoint: False
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
use_cpu: False
seed: 42
data_seed: None
bf16: False
fp16: False
bf16_full_eval: False
fp16_full_eval: False
tf32: None
local_rank: -1
ddp_backend: None
debug: []
dataloader_drop_last: False
dataloader_num_workers: 0
dataloader_prefetch_factor: None
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: False
ignore_data_skip: False
fsdp: []
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
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
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
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_for_metrics: []
eval_do_concat_batches: True
auto_find_batch_size: False
full_determinism: False
ddp_timeout: 1800
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
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
use_cache: False
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: round_robin
router_mapping: {}
learning_rate_mapping: {}

Training Time

Training: 2.6 minutes

Framework Versions

Python: 3.12.13
Sentence Transformers: 5.4.0
Transformers: 5.0.0
PyTorch: 2.10.0+cu128
Accelerate: 1.13.0
Datasets: 4.0.0
Tokenizers: 0.22.2

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",
}

	sentence_0	sentence_1	label
type	string	string	float
details	min: 23 tokens mean: 90.52 tokens max: 157 tokens	min: 23 tokens mean: 90.52 tokens max: 157 tokens	min: 0.04 mean: 0.21 max: 0.62

kevin-rice/ticket-similarity-finetuned

SentenceTransformer

Model Details

Model Description

Model Sources

Full Model Architecture

Usage

Direct Usage (Sentence Transformers)

Training Details

Training Dataset

Unnamed Dataset

Training Hyperparameters

Non-Default Hyperparameters

All Hyperparameters

Training Time

Framework Versions

Citation

BibTeX

Sentence Transformers

kevin-rice/
ticket-similarity-finetuned