SentenceTransformer based on google-bert/bert-base-uncased

This is a sentence-transformers model finetuned from google-bert/bert-base-uncased on the all-nli dataset. 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: google-bert/bert-base-uncased
  • Maximum Sequence Length: 512 tokens
  • Output Dimensionality: 768 dimensions
  • Similarity Function: Cosine Similarity
  • Training Dataset:
  • Language: en

Model Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertModel'})
  (1): Pooling({'word_embedding_dimension': 768, '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})
)

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("sentence_transformers_model_id")
# Run inference
sentences = [
    'A construction worker peeking out of a manhole while his coworker sits on the sidewalk smiling.',
    'A worker is looking out of a manhole.',
    'The workers are both inside the manhole.',
]
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, 0.6487, 0.2031],
#         [0.6487, 1.0000, 0.4307],
#         [0.2031, 0.4307, 1.0000]])

Evaluation

Metrics

Semantic Similarity

Metric sts-dev sts-test
pearson_cosine 0.8195 0.7938
spearman_cosine 0.8215 0.8007

Training Details

Training Dataset

all-nli

  • Dataset: all-nli at d482672
  • Size: 557,850 training samples
  • Columns: anchor, positive, and negative
  • Approximate statistics based on the first 1000 samples:
    anchor positive negative
    type string string string
    details
    • min: 7 tokens
    • mean: 10.46 tokens
    • max: 46 tokens
    • min: 6 tokens
    • mean: 12.81 tokens
    • max: 40 tokens
    • min: 5 tokens
    • mean: 13.4 tokens
    • max: 50 tokens
  • Samples:
    anchor positive negative
    A person on a horse jumps over a broken down airplane. A person is outdoors, on a horse. A person is at a diner, ordering an omelette.
    Children smiling and waving at camera There are children present The kids are frowning
    A boy is jumping on skateboard in the middle of a red bridge. The boy does a skateboarding trick. The boy skates down the sidewalk.
  • Loss: MatryoshkaLoss with these parameters:
    {
        "loss": "MultipleNegativesRankingLoss",
        "matryoshka_dims": [
            768,
            512,
            256,
            128,
            64
        ],
        "matryoshka_weights": [
            1,
            1,
            1,
            1,
            1
        ],
        "n_dims_per_step": -1
    }
    

Evaluation Dataset

all-nli

  • Dataset: all-nli at d482672
  • Size: 6,584 evaluation samples
  • Columns: anchor, positive, and negative
  • Approximate statistics based on the first 1000 samples:
    anchor positive negative
    type string string string
    details
    • min: 6 tokens
    • mean: 17.95 tokens
    • max: 63 tokens
    • min: 4 tokens
    • mean: 9.78 tokens
    • max: 29 tokens
    • min: 5 tokens
    • mean: 10.35 tokens
    • max: 29 tokens
  • Samples:
    anchor positive negative
    Two women are embracing while holding to go packages. Two woman are holding packages. The men are fighting outside a deli.
    Two young children in blue jerseys, one with the number 9 and one with the number 2 are standing on wooden steps in a bathroom and washing their hands in a sink. Two kids in numbered jerseys wash their hands. Two kids in jackets walk to school.
    A man selling donuts to a customer during a world exhibition event held in the city of Angeles A man selling donuts to a customer. A woman drinks her coffee in a small cafe.
  • Loss: MatryoshkaLoss with these parameters:
    {
        "loss": "MultipleNegativesRankingLoss",
        "matryoshka_dims": [
            768,
            512,
            256,
            128,
            64
        ],
        "matryoshka_weights": [
            1,
            1,
            1,
            1,
            1
        ],
        "n_dims_per_step": -1
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: steps
  • per_device_train_batch_size: 16
  • per_device_eval_batch_size: 16
  • num_train_epochs: 5
  • warmup_ratio: 0.1
  • fp16: 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: 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: 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
  • bf16: False
  • fp16: True
  • 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}
  • parallelism_config: None
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch_fused
  • optim_args: None
  • adafactor: False
  • 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
  • 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: 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
  • prompts: None
  • batch_sampler: batch_sampler
  • multi_dataset_batch_sampler: proportional
  • router_mapping: {}
  • learning_rate_mapping: {}

Training Logs

Click to expand
Epoch Step Training Loss Validation Loss sts-dev_spearman_cosine sts-test_spearman_cosine
-1 -1 - - 0.5931 -
0.0029 100 11.0821 7.3890 0.6122 -
0.0057 200 10.4444 6.2106 0.6776 -
0.0086 300 7.9496 4.7649 0.7566 -
0.0115 400 6.0085 3.8887 0.7898 -
0.0143 500 5.0207 3.4846 0.8011 -
0.0172 600 4.5744 3.2518 0.8081 -
0.0201 700 4.0297 3.0691 0.8126 -
0.0229 800 4.1196 2.8857 0.8160 -
0.0258 900 4.0579 2.7141 0.8182 -
0.0287 1000 3.4803 2.5590 0.8212 -
0.0315 1100 3.6491 2.4194 0.8229 -
0.0344 1200 3.2399 2.2893 0.8253 -
0.0373 1300 3.5068 2.2025 0.8287 -
0.0402 1400 3.1616 2.1389 0.8278 -
0.0430 1500 2.9679 2.0959 0.8289 -
0.0459 1600 3.0881 2.0339 0.8320 -
0.0488 1700 2.6726 2.0046 0.8310 -
0.0516 1800 2.9131 1.9434 0.8314 -
0.0545 1900 2.991 1.8994 0.8324 -
0.0574 2000 2.5504 1.8762 0.8323 -
0.0602 2100 2.7044 1.8412 0.8344 -
0.0631 2200 2.6515 1.8038 0.8353 -
0.0660 2300 2.708 1.7802 0.8323 -
0.0688 2400 2.426 1.7550 0.8325 -
0.0717 2500 2.7301 1.7194 0.8336 -
0.0746 2600 2.607 1.7190 0.8374 -
0.0774 2700 2.5199 1.6383 0.8403 -
0.0803 2800 2.6619 1.6223 0.8367 -
0.0832 2900 2.3317 1.6419 0.8387 -
0.0860 3000 2.3979 1.6022 0.8360 -
0.0889 3100 2.4339 1.6004 0.8356 -
0.0918 3200 2.1683 1.5543 0.8379 -
0.0946 3300 2.4426 1.5430 0.8377 -
0.0975 3400 2.2403 1.5281 0.8394 -
0.1004 3500 2.2782 1.5423 0.8402 -
0.1033 3600 2.3966 1.5113 0.8383 -
0.1061 3700 2.2784 1.5396 0.8320 -
0.1090 3800 2.2402 1.5176 0.8323 -
0.1119 3900 2.1958 1.4569 0.8358 -
0.1147 4000 2.1168 1.4687 0.8332 -
0.1176 4100 2.1157 1.4331 0.8390 -
0.1205 4200 2.2922 1.4460 0.8367 -
0.1233 4300 2.2492 1.4011 0.8374 -
0.1262 4400 2.2124 1.4112 0.8345 -
0.1291 4500 1.9601 1.3755 0.8369 -
0.1319 4600 2.0958 1.4102 0.8360 -
0.1348 4700 2.0964 1.4191 0.8338 -
0.1377 4800 1.8834 1.4148 0.8376 -
0.1405 4900 2.0694 1.3711 0.8348 -
0.1434 5000 1.9345 1.3625 0.8350 -
0.1463 5100 2.011 1.3941 0.8294 -
0.1491 5200 2.1166 1.3275 0.8393 -
0.1520 5300 1.9076 1.3298 0.8383 -
0.1549 5400 1.8983 1.3329 0.8350 -
0.1577 5500 2.3374 1.3312 0.8425 -
0.1606 5600 2.007 1.3447 0.8351 -
0.1635 5700 1.8839 1.3071 0.8413 -
0.1664 5800 2.1406 1.2972 0.8367 -
0.1692 5900 2.0391 1.3158 0.8378 -
0.1721 6000 1.7862 1.2845 0.8416 -
0.1750 6100 1.7201 1.3111 0.8393 -
0.1778 6200 1.9158 1.3025 0.8378 -
0.1807 6300 1.599 1.3127 0.8373 -
0.1836 6400 1.9747 1.3053 0.8373 -
0.1864 6500 1.7582 1.3118 0.8351 -
0.1893 6600 1.8912 1.2945 0.8322 -
0.1922 6700 2.0405 1.2989 0.8357 -
0.1950 6800 1.8776 1.2951 0.8395 -
0.1979 6900 1.8576 1.3293 0.8380 -
0.2008 7000 1.9513 1.2959 0.8366 -
0.2036 7100 1.8289 1.2857 0.8338 -
0.2065 7200 1.7563 1.3358 0.8398 -
0.2094 7300 1.8689 1.2727 0.8362 -
0.2122 7400 1.8419 1.3109 0.8312 -
0.2151 7500 1.8191 1.2858 0.8340 -
0.2180 7600 1.6536 1.2964 0.8362 -
0.2208 7700 2.0715 1.2766 0.8373 -
0.2237 7800 1.7781 1.3461 0.8354 -
0.2266 7900 1.9729 1.2559 0.8383 -
0.2294 8000 1.5414 1.3173 0.8333 -
0.2323 8100 1.868 1.2968 0.8387 -
0.2352 8200 1.7234 1.2824 0.8433 -
0.2381 8300 1.7206 1.2639 0.8405 -
0.2409 8400 1.7782 1.3196 0.8396 -
0.2438 8500 1.6609 1.2905 0.8352 -
0.2467 8600 1.8339 1.3137 0.8331 -
0.2495 8700 1.7869 1.2877 0.8443 -
0.2524 8800 1.9003 1.2609 0.8389 -
0.2553 8900 1.8142 1.2239 0.8437 -
0.2581 9000 1.5787 1.2920 0.8501 -
0.2610 9100 1.6463 1.2435 0.8438 -
0.2639 9200 1.8492 1.2402 0.8356 -
0.2667 9300 1.7735 1.2381 0.8347 -
0.2696 9400 1.8485 1.2615 0.8325 -
0.2725 9500 1.8487 1.2660 0.8286 -
0.2753 9600 1.7003 1.2493 0.8430 -
0.2782 9700 1.6194 1.2665 0.8411 -
0.2811 9800 1.655 1.2545 0.8371 -
0.2839 9900 1.7472 1.2916 0.8351 -
0.2868 10000 1.7044 1.2995 0.8260 -
0.2897 10100 1.6941 1.2753 0.8351 -
0.2925 10200 1.722 1.2984 0.8394 -
0.2954 10300 1.7372 1.3841 0.8328 -
0.2983 10400 1.779 1.2794 0.8385 -
0.3012 10500 1.4415 1.2482 0.8382 -
0.3040 10600 1.5578 1.2862 0.8284 -
0.3069 10700 1.7941 1.2522 0.8330 -
0.3098 10800 1.8268 1.2574 0.8419 -
0.3126 10900 1.8675 1.3383 0.8415 -
0.3155 11000 1.4573 1.2895 0.8411 -
0.3184 11100 1.7613 1.2687 0.8375 -
0.3212 11200 1.744 1.2315 0.8357 -
0.3241 11300 1.6825 1.2447 0.8348 -
0.3270 11400 1.7866 1.2474 0.8240 -
0.3298 11500 1.5087 1.2571 0.8325 -
0.3327 11600 1.8041 1.2385 0.8361 -
0.3356 11700 1.5721 1.3393 0.8285 -
0.3384 11800 1.9533 1.3072 0.8370 -
0.3413 11900 1.6128 1.2836 0.8288 -
0.3442 12000 1.7756 1.2892 0.8323 -
0.3470 12100 1.7241 1.2727 0.8303 -
0.3499 12200 1.6638 1.2268 0.8366 -
0.3528 12300 1.6517 1.2231 0.8363 -
0.3556 12400 1.8291 1.3026 0.8246 -
0.3585 12500 1.7536 1.2219 0.8297 -
0.3614 12600 1.5749 1.2539 0.8254 -
0.3643 12700 1.8452 1.2239 0.8300 -
0.3671 12800 1.8401 1.2805 0.8345 -
0.3700 12900 1.7949 1.2449 0.8361 -
0.3729 13000 1.5589 1.2190 0.8309 -
0.3757 13100 1.8282 1.2594 0.8341 -
0.3786 13200 1.6942 1.3023 0.8343 -
0.3815 13300 1.9167 1.2986 0.8312 -
0.3843 13400 1.7841 1.3247 0.8282 -
0.3872 13500 1.7317 1.2508 0.8358 -
0.3901 13600 1.7932 1.2762 0.8392 -
0.3929 13700 1.7279 1.3258 0.8464 -
0.3958 13800 1.6235 1.2723 0.8417 -
0.3987 13900 1.2874 1.3027 0.8408 -
0.4015 14000 1.6442 1.2932 0.8293 -
0.4044 14100 1.6366 1.2996 0.8289 -
0.4073 14200 1.5726 1.3508 0.8367 -
0.4101 14300 1.7341 1.3296 0.8232 -
0.4130 14400 1.8664 1.2809 0.8309 -
0.4159 14500 1.6337 1.2842 0.8344 -
0.4187 14600 1.6796 1.2631 0.8345 -
0.4216 14700 1.4792 1.2941 0.8316 -
0.4245 14800 1.4388 1.3298 0.8287 -
0.4274 14900 1.6729 1.3587 0.8217 -
0.4302 15000 1.8074 1.3489 0.8200 -
0.4331 15100 1.5924 1.3460 0.8292 -
0.4360 15200 1.5468 1.3674 0.8219 -
0.4388 15300 1.6924 1.3406 0.8284 -
0.4417 15400 1.7376 1.3062 0.8295 -
0.4446 15500 1.6491 1.3337 0.8197 -
0.4474 15600 1.6208 1.3064 0.8326 -
0.4503 15700 1.6609 1.3782 0.8357 -
0.4532 15800 1.5955 1.3264 0.8231 -
0.4560 15900 1.5614 1.3502 0.8161 -
0.4589 16000 1.6215 1.3302 0.8274 -
0.4618 16100 1.6705 1.3231 0.8245 -
0.4646 16200 1.8978 1.3575 0.8223 -
0.4675 16300 1.5961 1.3625 0.8155 -
0.4704 16400 1.5438 1.3526 0.8202 -
0.4732 16500 1.8379 1.3866 0.8263 -
0.4761 16600 1.657 1.3587 0.8220 -
0.4790 16700 1.7942 1.3415 0.8337 -
0.4818 16800 1.7195 1.3486 0.8164 -
0.4847 16900 1.6839 1.3861 0.8183 -
0.4876 17000 1.5017 1.4832 0.8158 -
0.4904 17100 1.7408 1.4624 0.8065 -
0.4933 17200 1.8835 1.3778 0.8213 -
0.4962 17300 1.698 1.3687 0.8157 -
0.4991 17400 1.5762 1.4100 0.8124 -
0.5019 17500 1.8026 1.3564 0.8144 -
0.5048 17600 1.7605 1.3446 0.8176 -
0.5077 17700 1.8376 1.3587 0.8264 -
0.5105 17800 1.6209 1.3903 0.8217 -
0.5134 17900 1.6944 1.3431 0.8146 -
0.5163 18000 1.7666 1.3177 0.8172 -
0.5191 18100 1.7053 1.3501 0.8268 -
0.5220 18200 1.5462 1.3959 0.8202 -
0.5249 18300 1.7704 1.4032 0.8125 -
0.5277 18400 1.7481 1.3587 0.8236 -
0.5306 18500 1.7678 1.3711 0.8260 -
0.5335 18600 1.8573 1.3333 0.8236 -
0.5363 18700 1.6755 1.4131 0.8114 -
0.5392 18800 1.5909 1.3324 0.8110 -
0.5421 18900 1.435 1.3531 0.8192 -
0.5449 19000 1.566 1.4039 0.8112 -
0.5478 19100 1.6924 1.3972 0.8193 -
0.5507 19200 1.5942 1.3637 0.8143 -
0.5535 19300 1.6591 1.3256 0.8176 -
0.5564 19400 1.6272 1.3234 0.8209 -
0.5593 19500 1.6088 1.3598 0.8130 -
0.5622 19600 1.5748 1.3518 0.8193 -
0.5650 19700 1.6614 1.3394 0.8278 -
0.5679 19800 1.6981 1.3673 0.8222 -
0.5708 19900 1.4363 1.3494 0.8236 -
0.5736 20000 1.5288 1.4036 0.8194 -
0.5765 20100 1.5987 1.3650 0.8215 -
0.5794 20200 1.6639 1.3355 0.8113 -
0.5822 20300 1.6898 1.3610 0.8113 -
0.5851 20400 1.6034 1.3398 0.8203 -
0.5880 20500 1.4309 1.3688 0.8200 -
0.5908 20600 1.4763 1.3373 0.8262 -
0.5937 20700 1.585 1.3251 0.8245 -
0.5966 20800 1.6501 1.3019 0.8308 -
0.5994 20900 1.631 1.2884 0.8250 -
0.6023 21000 1.5909 1.2811 0.8199 -
0.6052 21100 1.5368 1.3158 0.8152 -
0.6080 21200 1.5633 1.3438 0.8058 -
0.6109 21300 1.7126 1.3451 0.8219 -
0.6138 21400 1.5075 1.2852 0.8103 -
0.6166 21500 1.4649 1.2830 0.8146 -
0.6195 21600 1.509 1.3264 0.8147 -
0.6224 21700 1.5866 1.3170 0.8128 -
0.6253 21800 1.462 1.3535 0.8085 -
0.6281 21900 1.5441 1.3459 0.8135 -
0.6310 22000 1.398 1.3388 0.8120 -
0.6339 22100 1.755 1.3371 0.8066 -
0.6367 22200 1.6194 1.3253 0.8143 -
0.6396 22300 1.539 1.2860 0.8187 -
0.6425 22400 1.5385 1.2888 0.8198 -
0.6453 22500 1.4747 1.4147 0.8169 -
0.6482 22600 1.5847 1.3350 0.8180 -
0.6511 22700 1.5683 1.3649 0.8161 -
0.6539 22800 1.5207 1.4555 0.8162 -
0.6568 22900 1.5301 1.3373 0.8234 -
0.6597 23000 1.2562 1.4132 0.8173 -
0.6625 23100 1.6334 1.3983 0.8126 -
0.6654 23200 1.6603 1.3268 0.8190 -
0.6683 23300 1.6231 1.3382 0.8112 -
0.6711 23400 1.2433 1.3419 0.8191 -
0.6740 23500 1.4834 1.3799 0.8103 -
0.6769 23600 1.4797 1.4401 0.8160 -
0.6797 23700 1.1754 1.4043 0.8191 -
0.6826 23800 1.5622 1.3311 0.8222 -
0.6855 23900 1.4643 1.3981 0.8214 -
0.6883 24000 1.3371 1.2781 0.8145 -
0.6912 24100 1.6133 1.2598 0.8203 -
0.6941 24200 1.5886 1.3105 0.8143 -
0.6970 24300 1.5195 1.3125 0.8128 -
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4.9819 173700 0.1455 1.1293 0.8215 -
4.9848 173800 0.1615 1.1294 0.8215 -
4.9877 173900 0.2759 1.1293 0.8215 -
4.9905 174000 0.1791 1.1290 0.8215 -
4.9934 174100 0.1562 1.1290 0.8215 -
4.9963 174200 0.1849 1.1291 0.8215 -
4.9991 174300 0.1999 1.1291 0.8215 -
-1 -1 - - - 0.8007

Framework Versions

  • Python: 3.13.0
  • Sentence Transformers: 5.1.2
  • Transformers: 4.57.1
  • PyTorch: 2.9.1+cu128
  • Accelerate: 1.11.0
  • Datasets: 4.4.1
  • Tokenizers: 0.22.1

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",
}

MatryoshkaLoss

@misc{kusupati2024matryoshka,
    title={Matryoshka Representation Learning},
    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
    year={2024},
    eprint={2205.13147},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
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