This is a Cross Encoder model finetuned from bansalaman18/bert-uncased_L-8_H-256_A-4 on the msmarco dataset using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.

Model Details

Model Description

Model Type: Cross Encoder
Base model: bansalaman18/bert-uncased_L-8_H-256_A-4
Maximum Sequence Length: 512 tokens
Number of Output Labels: 1 label
Training Dataset:
- msmarco
Language: en

Model Sources

Documentation: Sentence Transformers Documentation
Documentation: Cross Encoder Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Cross Encoders on Hugging Face

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 CrossEncoder

# Download from the 🤗 Hub
model = CrossEncoder("bansalaman18/reranker-bert-uncased_L-8_H-256_A-4-msmarco-bce")
# Get scores for pairs of texts
pairs = [
    ['who is wale the rapper', "Wale (rapper)'s wiki: Olubowale Victor Akintimehin (born September 21, 1984), better known by his stage name Wale (/Ë\x88wÉ\x94Ë\x90leÉª/ WAW-lay), is an American rapper from Washington, D.C. He rose to prominence in 2006, when his song Dig Dug (Shake It) became popular in his hometown. Wale became locally recognized and continued recording music for the regional audience."],
    ['what is platinum used for', 'The periodic table is a chart that shows how elements are related to one another. Indium is a transition metal that is also part of the platinum family. The metals in the platinum family are also known as the noble metals. They have this name because they do not react well with other elements and compounds. They appear to be too superior to react with most other substances. In fact, iridium is the most corrosion-resistant metal known.'],
    ['where is the gonzaga university located', 'Where We Are. The Boise State University Department of Public Safety substation is located in Capitol Village at 2245 University Drive. Our office is open 24 hours a day, 7 days a week, so we are always available. Physical Address: 2245 University Drive, Boise, Idaho 83706.'],
    ['most common protein in the human body', 'Protein is the second category of food that a human body can get energy from. Most people know protein as animal meat-a hamburger, a chicken leg. These are all proteins. You can also extract protein from certain plants.Soy protein isolate is a well known protein that comes from soybeans.uman Body Four Energy Sources. The human body can only metabolize four types of energy sources. These four categories are carbohydrates (sugars and starches), fats (includes oils), proteins (animal and vegetable), and alcohol.'],
    ['where is azilda ontario', 'Azilda railway station is a Via Rail flag stop station located in Azilda, Ontario, in the city of Greater Sudbury community of Rayside-Balfour. It is on the Canadian Pacific Railway transcontinental main line, and is served by the regional rail Sudbury â\x80\x93 White River train. Map 12 (PDF) (Map). 1 : 1,600,000.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'who is wale the rapper',
    [
        "Wale (rapper)'s wiki: Olubowale Victor Akintimehin (born September 21, 1984), better known by his stage name Wale (/Ë\x88wÉ\x94Ë\x90leÉª/ WAW-lay), is an American rapper from Washington, D.C. He rose to prominence in 2006, when his song Dig Dug (Shake It) became popular in his hometown. Wale became locally recognized and continued recording music for the regional audience.",
        'The periodic table is a chart that shows how elements are related to one another. Indium is a transition metal that is also part of the platinum family. The metals in the platinum family are also known as the noble metals. They have this name because they do not react well with other elements and compounds. They appear to be too superior to react with most other substances. In fact, iridium is the most corrosion-resistant metal known.',
        'Where We Are. The Boise State University Department of Public Safety substation is located in Capitol Village at 2245 University Drive. Our office is open 24 hours a day, 7 days a week, so we are always available. Physical Address: 2245 University Drive, Boise, Idaho 83706.',
        'Protein is the second category of food that a human body can get energy from. Most people know protein as animal meat-a hamburger, a chicken leg. These are all proteins. You can also extract protein from certain plants.Soy protein isolate is a well known protein that comes from soybeans.uman Body Four Energy Sources. The human body can only metabolize four types of energy sources. These four categories are carbohydrates (sugars and starches), fats (includes oils), proteins (animal and vegetable), and alcohol.',
        'Azilda railway station is a Via Rail flag stop station located in Azilda, Ontario, in the city of Greater Sudbury community of Rayside-Balfour. It is on the Canadian Pacific Railway transcontinental main line, and is served by the regional rail Sudbury â\x80\x93 White River train. Map 12 (PDF) (Map). 1 : 1,600,000.',
    ]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]

Evaluation

Metrics

Cross Encoder Reranking

Datasets: NanoMSMARCO_R100, NanoNFCorpus_R100 and NanoNQ_R100
Evaluated with CrossEncoderRerankingEvaluator with these parameters:
json
1{ 2 "at_k": 10, 3 "always_rerank_positives": true 4}

Metric	NanoMSMARCO_R100	NanoNFCorpus_R100	NanoNQ_R100
map	0.0439 (-0.4457)	0.2612 (+0.0002)	0.0906 (-0.3290)
mrr@10	0.0189 (-0.4586)	0.3655 (-0.1343)	0.0656 (-0.3611)
ndcg@10	0.0328 (-0.5076)	0.2241 (-0.1009)	0.1033 (-0.3974)

Cross Encoder Nano BEIR

Dataset: NanoBEIR_R100_mean
Evaluated with CrossEncoderNanoBEIREvaluator with these parameters:
json
1{ 2 "dataset_names": [ 3 "msmarco", 4 "nfcorpus", 5 "nq" 6 ], 7 "rerank_k": 100, 8 "at_k": 10, 9 "always_rerank_positives": true 10}

Metric	Value
map	0.1319 (-0.2582)
mrr@10	0.1500 (-0.3180)
ndcg@10	0.1201 (-0.3353)

Training Details

Training Dataset

msmarco

Dataset: msmarco at 9e329ed
Size: 90,000 training samples
Columns: query, passage, and score
Approximate statistics based on the first 1000 samples:
query passage score
type string string float
details
min: 10 characters
mean: 34.26 characters
max: 168 characters
min: 60 characters
mean: 343.34 characters
max: 984 characters
min: 0.0
mean: 0.53
max: 1.0

Samples:

query	passage	score
`who is the actor that plays the tanned colonel for kfc?`	`James Rebhorn Actor, Scent of a Woman James Robert Rebhorn (September 1, 1948 - March 21, 2014) was an American actor who appeared in over 100 films, television series, and plays. At the time of his death, he had recurring roles in the current series White Collar and Homeland.`	`0.0`
`asking for an increase in credit limit harm your credit score`	If you request a credit line increase, you should ask the lender whether it will result in your credit report being pulled. If it does, this will show up as an inquiry on your report and generally remains on your credit report for two years.Too many inquiries can lower your credit score.f you request a credit line increase, you should ask the lender whether it will result in your credit report being pulled. If it does, this will show up as an inquiry on your report and generally remains on your credit report for two years.	`1.0`
`what is a sheep ked`	`Cysteine is required by sheep to produce wool: It is an essential amino acid that must be taken in from their feed. As a consequence, during drought conditions, sheep produce less wool; however, transgenic sheep that can make their own cysteine have been developed.`	`0.0`

Loss: BinaryCrossEntropyLoss with these parameters:
json
1{ 2 "activation_fn": "torch.nn.modules.linear.Identity", 3 "pos_weight": null 4}

Evaluation Dataset

msmarco

Dataset: msmarco at 9e329ed
Size: 10,000 evaluation samples
Columns: query, passage, and score
Approximate statistics based on the first 1000 samples:
query passage score
type string string float
details
min: 11 characters
mean: 34.79 characters
max: 118 characters
min: 86 characters
mean: 353.31 characters
max: 970 characters
min: 0.0
mean: 0.52
max: 1.0

Samples:

query	passage	score
`who is wale the rapper`	`Wale (rapper)'s wiki: Olubowale Victor Akintimehin (born September 21, 1984), better known by his stage name Wale (/ËwÉËleÉª/ WAW-lay), is an American rapper from Washington, D.C. He rose to prominence in 2006, when his song Dig Dug (Shake It) became popular in his hometown. Wale became locally recognized and continued recording music for the regional audience.`	`1.0`
`what is platinum used for`	`The periodic table is a chart that shows how elements are related to one another. Indium is a transition metal that is also part of the platinum family. The metals in the platinum family are also known as the noble metals. They have this name because they do not react well with other elements and compounds. They appear to be too superior to react with most other substances. In fact, iridium is the most corrosion-resistant metal known.`	`0.0`
`where is the gonzaga university located`	`Where We Are. The Boise State University Department of Public Safety substation is located in Capitol Village at 2245 University Drive. Our office is open 24 hours a day, 7 days a week, so we are always available. Physical Address: 2245 University Drive, Boise, Idaho 83706.`	`0.0`

Loss: BinaryCrossEntropyLoss with these parameters:
json
1{ 2 "activation_fn": "torch.nn.modules.linear.Identity", 3 "pos_weight": null 4}

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: 1
warmup_ratio: 0.1
seed: 12
bf16: True
half_precision_backend: cpu_amp
dataloader_num_workers: 4
load_best_model_at_end: True

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: 1
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: 12
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: True
fp16: False
fp16_opt_level: O1
half_precision_backend: cpu_amp
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: 4
dataloader_prefetch_factor: None
past_index: -1
disable_tqdm: False
remove_unused_columns: True
label_names: None
load_best_model_at_end: True
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: batch_sampler
multi_dataset_batch_sampler: proportional
router_mapping: {}
learning_rate_mapping: {}

Training Logs

Epoch	Step	Training Loss	Validation Loss	NanoMSMARCO_R100_ndcg@10	NanoNFCorpus_R100_ndcg@10	NanoNQ_R100_ndcg@10	NanoBEIR_R100_mean_ndcg@10
-1	-1	-	-	0.0200 (-0.5204)	0.3166 (-0.0084)	0.0673 (-0.4334)	0.1346 (-0.3207)
0.0002	1	0.6624	-	-	-	-	-
0.1778	1000	0.6959	0.6922	0.0329 (-0.5075)	0.2596 (-0.0654)	0.0246 (-0.4761)	0.1057 (-0.3497)
0.3556	2000	0.6926	0.6840	0.0482 (-0.4922)	0.2398 (-0.0852)	0.0484 (-0.4523)	0.1121 (-0.3432)
0.5333	3000	0.682	0.6855	0.0464 (-0.4940)	0.2084 (-0.1167)	0.0698 (-0.4309)	0.1082 (-0.3472)
0.7111	4000	0.6789	0.6744	0.0367 (-0.5037)	0.2186 (-0.1064)	0.1015 (-0.3991)	0.1190 (-0.3364)
0.8889	5000	0.68	0.6723	0.0328 (-0.5076)	0.2241 (-0.1009)	0.1033 (-0.3974)	0.1201 (-0.3353)
-1	-1	-	-	0.0328 (-0.5076)	0.2241 (-0.1009)	0.1033 (-0.3974)	0.1201 (-0.3353)

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.11.13
Sentence Transformers: 5.0.0
Transformers: 4.51.0
PyTorch: 2.6.0
Accelerate: 1.8.1
Datasets: 3.6.0
Tokenizers: 0.21.4-dev.0

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",
}

	query	passage	score
type	string	string	float
details	min: 10 characters mean: 34.26 characters max: 168 characters	min: 60 characters mean: 343.34 characters max: 984 characters	min: 0.0 mean: 0.53 max: 1.0