This is a sentence-transformers model finetuned from BAAI/bge-base-en. It maps sentences & paragraphs to a 768-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: BAAI/bge-base-en
Maximum Sequence Length: 512 tokens
Output Dimensionality: 768 dimensions
Similarity Function: Cosine Similarity

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': 512, 'do_lower_case': True, 'architecture': 'BertModel'})
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, '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.

python

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("aaa961/finetuned-bge-base-en")
# Run inference
sentences = [
    'Occurence highlighting highlights wrong part of the code <!-- Please search existing issues to avoid creating duplicates. -->\r\n\r\n## Environment data\r\n\r\n-   VS Code version: 1.58.0-insider 062e6519f8973fede2ca736e80682bd19007460a \r\n-   Jupyter Extension version (available under the Extensions sidebar):  v2021.8.1000539794\r\n-   Python Extension version (available under the Extensions sidebar): v2021.6.944021595\r\n-   OS (Windows | Mac | Linux distro) and version: Ubuntu 18.04\r\n-   Python and/or Anaconda version: 3.9.2 Anaconda\r\n-   Type of virtual environment used (N/A | venv | virtualenv | conda | ...): conda\r\n-   Jupyter server running: Remote \r\n\r\nIt seems that issues https://github.com/microsoft/vscode/issues/120148 and https://github.com/microsoft/vscode-jupyter/issues/5451 have been closed but the problem still exists in the last versions. I have not seen any similar issues on the repo',
    'File explorer is expanding all root folders in a MR workspace Steps to Reproduce:\r\n\r\n1.  Create a MR workspace file with more than one folder\r\n2. Open the MR workspace\r\n\r\n🐛 All top level folders are expanded. This is very slow if there are lot of root folders and also if the MR workspace is in remote\r\n',
    'Quick input reset scroll position * use latest from master\r\n* f1 > insert snippet\r\n* scroll down to an extension snippet and hide it (press 👁️ icon)\r\n* :bug: the scroll position resets\r\n\r\nThis is happening when reassigning the items (since the press changed the label) here: https://github.com/microsoft/vscode/blob/92314d61a55f466c125fa9d1f9fe8da633a82423/src/vs/workbench/contrib/snippets/browser/insertSnippet.ts#L213',
]
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, 0.5572, 0.5031],
#         [0.5572, 1.0000, 0.5477],
#         [0.5031, 0.5477, 1.0000]])

Evaluation

Metrics

Triplet

Dataset: bge-base-en-train
Evaluated with TripletEvaluator

Metric	Value
cosine_accuracy	0.9479

Triplet

Dataset: bge-base-en-train
Evaluated with TripletEvaluator

Metric	Value
cosine_accuracy	0.9933

Training Details

Training Dataset

Unnamed Dataset

Size: 445 training samples
Columns: sentence and label
Approximate statistics based on the first 445 samples:
sentence label
type string float
details
min: 20 tokens
mean: 338.03 tokens
max: 512 tokens
min: 1.0
mean: 149.53
max: 299.0
Samples:
sentence label
Branch list is sometimes out of order

Type: Bug

1. Open a workspace
2. Quickly open the branch picker and type `main`

**Bug**
The first time you do this, sometimes you end up with an unordered list:

![Image](https://github.com/user-attachments/assets/04c939f1-e02d-419a-9c12-8f0ab1c78ae6)

The correct order shows up when you keep start typing or try doing this again:

![Image](https://github.com/user-attachments/assets/0c848d92-b6f1-4ef6-a492-25cf878b7e90)

VS Code version: Code - Insiders 1.91.0-insider (Universal) (0354163c1c66b950b0762364f5b4cd37937b624a, 2024-06-26T10:12:33.304Z)
OS version: Darwin arm64 23.5.0
Modes:
System Info

\|Item\|Value\|
\|---\|---\|
\|CPUs\|Apple M2 Max (12 x 2400)\|
\|GPU Status\|2d_canvas: unavailable_software
canvas_oop_rasterization: disabled_off
direct_rendering_display_compositor: disabled_off_ok
gpu_compositing: disabled_software
multiple_raster_threads: enabled_on
ope... | 299.0 | |
```
Git Branch Picker Race Condition If I paste the branch too quickly and then press enter, it does not switch to it, but creates a new branch.
[object Object]This breaks muscle memory, as it works when you do it slowly.
[object Object]
[object Object]![Code_-_Insiders_peF36XR6nS](https://github.com/microsoft/vscode/assets/2931520/d5d901c1-ad87-4c36-afe5-2a3a4d267800)
[object Object]
[object Object]
[object Object]Once loading completes, it should select the branch again.
```
| 299.0 | |
```
Ctrl+I stopped working after first hold+talk+release Testing #213355
[object Object]
[object Object]Screencast shows that it seems to be in the wrong context and is trying to stop the session?
[object Object]
[object Object]![Recording 2024-05-28 at 14 05 54](https://github.com/microsoft/vscode/assets/2193314/269531da-c58b-4d78-9c48-300af0205a27)
[object Object]
[object Object]Repro was just asking "Testing testing" and then trying to ask something else
```
| 298.0 |
Loss: BatchSemiHardTripletLoss

Evaluation Dataset

Unnamed Dataset

Size: 95 evaluation samples
Columns: sentence and label
Approximate statistics based on the first 95 samples:
sentence label
type string float
details
min: 38 tokens
mean: 348.78 tokens
max: 512 tokens
min: 3.0
mean: 149.72
max: 296.0
Samples:
sentence label
VS Code does not delete old extension versions even after restart

Does this issue occur when all extensions are disabled?: Yes
Loss: BatchSemiHardTripletLoss

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 16
per_device_eval_batch_size: 16
learning_rate: 2e-05
num_train_epochs: 5
warmup_ratio: 0.1
batch_sampler: group_by_label

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 16
per_device_eval_batch_size: 16
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: 2e-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: 5
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}
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
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: False
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: False
prompts: None
batch_sampler: group_by_label
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Epoch	Step	Training Loss	Validation Loss	bge-base-en-train_cosine_accuracy
-1	-1	-	-	0.9348
3.6786	100	4.8515	4.8221	0.9933
-1	-1	-	-	0.9479

Framework Versions

Python: 3.10.10
Sentence Transformers: 5.1.0
Transformers: 4.55.3
PyTorch: 2.7.1+cu128
Accelerate: 1.10.0
Datasets: 4.0.0
Tokenizers: 0.21.4

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",
}

BatchSemiHardTripletLoss

bibtex

@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}
}

	sentence	label
type	string	float
details	min: 20 tokens mean: 338.03 tokens max: 512 tokens	min: 1.0 mean: 149.53 max: 299.0

sentence	label
`VS Code does not delete old extension versions even after restart`






Does this issue occur when all extensions are disabled?: Yes

sentence	label
`Branch list is sometimes out of order`
Type: Bug