SentenceTransformer based on sentence-transformers/all-MiniLM-L12-v2

This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L12-v2 on the fine_tuning_stage2 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-L12-v2
Maximum Sequence Length: 128 tokens
Output Dimensionality: 384 dimensions
Similarity Function: Cosine Similarity
Training Dataset:
- fine_tuning_stage2

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': 128, '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("sentence_transformers_model_id")
# Run inference
sentences = [
    "Fidelity Real Estate Investment (FPRO) is an actively managed, non-transparent ETF that seeks above-average income and long-term capital growth by investing at least 80% of its assets in securities of companies primarily engaged in the real estate industry, including both domestic and foreign issuers. Operating under an exemptive order from the SEC, FPRO is not required to disclose its complete portfolio holdings daily. Instead, it utilizes the Fidelity non-transparent model, publishing a Tracking Basket and Tracking Basket Weight Overlap daily to approximate the fund's performance without revealing its actual holdings, which are disclosed monthly with a 30-day lag. The fund employs fundamental analysis to select securities, focusing on financial condition, industry position, and broader market and economic conditions, and is non-diversified.",
    'FCPT, headquartered in Mill Valley, CA, is a real estate investment trust primarily engaged in the acquisition and leasing of restaurant properties. The Company seeks to grow its portfolio by acquiring additional real estate to lease, on a net basis, for use in the restaurant and retail industries.',
    "Mapletree Commercial Trust is a Singapore-focused real estate investment trust (REIT) that invests on a long-term basis, directly or indirectly, in a diversified portfolio of income-producing real estate used primarily for office and/or retail purposes, whether wholly or partially, in Singapore, as well as real estate related assets. MCT's portfolio comprises VivoCity, MBC, PSA Building, Mapletree Anson and MLHF. These five assets have a total NLA of 5.0 million square feet with a total value of S$8.7 billion.",
]
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

fine_tuning_stage2

Dataset: fine_tuning_stage2 at b16a8c0
Size: 144,128 training samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 123 tokens mean: 126.64 tokens max: 128 tokens	min: 53 tokens mean: 121.14 tokens max: 128 tokens	min: 21 tokens mean: 121.09 tokens max: 128 tokens

Samples:

anchor	positive	negative
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...	OSI Systems, Inc. designs and manufactures electronic systems and components worldwide. It operates in three segments: Security, Healthcare, and Optoelectronics and Manufacturing. The Security segment offers baggage and parcel inspection, cargo and vehicle inspection, hold baggage and people screening, radiation detection, and explosive and narcotics trace detection systems under the Rapiscan Systems, AS&E, and Gatekeeper names. It also provides site design, installation, training, and technical support services; and security screening solutions under the S2 name. The Healthcare segment offers patient monitoring and diagnostic cardiology systems, and related supplies and accessories under the Spacelabs name for use in critical care, emergency, and perioperative areas within hospitals, physicians' offices, medical clinics, and ambulatory surgery centers. The Optoelectronics and Manufacturing segment provides optoelectronic devices under the OSI Optoelectronics, OSI LaserDiode, OSI Laser...
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...	Ubisoft Entertainment SA produce, publishes, and distributes video games for consoles, PC, smartphones, and tablets in both physical and digital formats in Europe, North America, and internationally. The company designs and develops software, including scenarios, animation, gameplay, layouts, and game rules, as well as develops design tools and game engines. It is also involved in the development in the area of online and mobile gaming; and film business. The company was incorporated in 1986 and is headquartered in Saint-Mandé, France.
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...	Genpact Limited provides business process outsourcing and information technology (IT) services in India, rest of Asia, North and Latin America, and Europe. It operates through three segments: Banking, Capital Markets and Insurance; Consumer Goods, Retail, Life Sciences and Healthcare; and High Tech, Manufacturing and Services. The company offers CFO advisory services; and environmental, social, and governance (ESG) services, such as data management, carbon accounting, human rights assessment, sustainability diligence, and ESG reporting. It also provides finance and accounting services, which include accounts payable, such as document management, invoice processing, approval and resolution management, and travel and expense processing; invoice-to-cash services, including customer master data management, credit and contract management, fulfillment, billing, collections, and dispute management services; record to report services comprising accounting, treasury, tax, product cost accountin...

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.COSINE",
    "triplet_margin": 0.5
}

Evaluation Dataset

fine_tuning_stage2

Dataset: fine_tuning_stage2 at b16a8c0
Size: 36,032 evaluation samples
Columns: anchor, positive, and negative

Approximate statistics based on the first 1000 samples:

	anchor	positive	negative
type	string	string	string
details	min: 123 tokens mean: 127.66 tokens max: 128 tokens	min: 53 tokens mean: 124.04 tokens max: 128 tokens	min: 15 tokens mean: 120.49 tokens max: 128 tokens

Samples:

anchor	positive	negative
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...	DXC Technology Company, together with its subsidiaries, provides information technology services and solutions primarily in North America, Europe, Asia, and Australia. It operates in two segments, Global Business Services (GBS) and Global Infrastructure Services (GIS). The GBS segment offers a portfolio of analytics services and extensive partner ecosystem that help its customers to gain rapid insights, automate operations, and accelerate their digital transformation journeys; and software engineering, consulting, and data analytics solutions that enable businesses to run and manage their mission-critical functions, transform their operations, and develop new ways of doing business. It also uses various technologies and methods to accelerate the creation, modernization, delivery, and maintenance of secure applications allowing customers to innovate faster while reducing risk, time to market, and total cost of ownership. In addition, this segment offers business process services, which ...
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...	CGI Inc., together with its subsidiaries, provides information technology (IT) and business process services in Canada; Western, Southern, Central, and Eastern Europe; Australia; Scandinavia; Finland, Poland, and Baltics; the United States; the United Kingdom; and the Asia Pacific. Its services include the management of IT and business outsourcing, systems integration and consulting, and software solutions selling activities. The company also offers application development, integration and maintenance, testing, portfolio management, and modernization services; business consulting; and a suite of business process services designed to address the needs of specific industries, as well as IT infrastructure services. It serves clients operating in government, banking and capital market, health, utility, communication and media, oil and gas, retail, consumer and services, space, manufacturing, insurance, life sciences, retail and consumer service, and transportation and logistics sectors. Th...
ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.	ANSYS, Inc. develops and markets engineering simulation software and services worldwide. It offers ANSYS Workbench, a framework upon which its multiphysics engineering simulation technologies are built and enables engineers to simulate the interactions between structures, heat transfer, fluids, electronics, and optical elements in a unified engineering simulation environment; high-performance computing product suite; power analysis and optimization software suite that manages the power budget, power delivery integrity, and power-induced noise in an electronic design; and structural analysis product suite that provides simulation tools for product design and optimization. The company also provides electronics product suite that offers field simulation software for designing electronic and electromechanical products; SCADE product suite, a solution for embedded software simulation, code production, and automated certification; fluids product suite that enables modeling of fluid flow and ...	`KRAFTON, Inc. develops, produces, and sells household video games in South Korea and internationally. It offers PC, mobile, and console games. The company was formerly known as Bluehole Studio Inc. and changed its name to KRAFTON, Inc. in November 2018. The company was founded in 2007 and is based in Seongnam, South Korea.`

Loss: TripletLoss with these parameters:

{
    "distance_metric": "TripletDistanceMetric.COSINE",
    "triplet_margin": 0.5
}

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 64
per_device_eval_batch_size: 64
num_train_epochs: 10
warmup_ratio: 0.1
bf16: True
dataloader_drop_last: True
load_best_model_at_end: True
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: 64
per_device_eval_batch_size: 64
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: 10
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: True
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: True
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: 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: no_duplicates
multi_dataset_batch_sampler: proportional

Training Logs

Click to expand

Epoch	Step	Training Loss	Validation Loss
0.0044	10	0.4716	-
0.0089	20	0.4638	-
0.0133	30	0.4614	-
0.0178	40	0.4572	-
0.0222	50	0.4616	-
0.0266	60	0.4539	-
0.0311	70	0.4368	-
0.0355	80	0.442	-
0.0400	90	0.4469	-
0.0444	100	0.4273	-
0.0488	110	0.4062	-
0.0533	120	0.4032	-
0.0577	130	0.4019	-
0.0622	140	0.3902	-
0.0666	150	0.379	-
0.0710	160	0.3466	-
0.0755	170	0.3463	-
0.0799	180	0.3347	-
0.0844	190	0.3085	-
0.0888	200	0.3207	-
0.0933	210	0.3116	-
0.0977	220	0.3003	-
0.1021	230	0.2872	-
0.1066	240	0.2858	-
0.1110	250	0.2752	-
0.1155	260	0.2758	-
0.1199	270	0.2969	-
0.1243	280	0.2599	-
0.1288	290	0.2545	-
0.1332	300	0.2599	-
0.1377	310	0.2583	-
0.1421	320	0.2539	-
0.1465	330	0.2396	-
0.1510	340	0.2267	-
0.1554	350	0.234	-
0.1599	360	0.2324	-
0.1643	370	0.2219	-
0.1687	380	0.2188	-
0.1732	390	0.2375	-
0.1776	400	0.2181	-
0.1821	410	0.2175	-
0.1865	420	0.2235	-
0.1909	430	0.2025	-
0.1954	440	0.2183	-
0.1998	450	0.2163	-
0.2043	460	0.2055	-
0.2087	470	0.2038	-
0.2131	480	0.2074	-
0.2176	490	0.215	-
0.2220	500	0.2249	-
0.2265	510	0.1963	-
0.2309	520	0.1975	-
0.2353	530	0.1902	-
0.2398	540	0.2077	-
0.2442	550	0.2044	-
0.2487	560	0.2085	-
0.2531	570	0.1919	-
0.2575	580	0.1999	-
0.2620	590	0.1947	-
0.2664	600	0.2078	-
0.2709	610	0.2032	-
0.2753	620	0.1825	-
0.2798	630	0.2026	-
0.2842	640	0.1798	-
0.2886	650	0.1945	-
0.2931	660	0.1864	-
0.2975	670	0.1844	-
0.3020	680	0.1826	-
0.3064	690	0.1799	-
0.3108	700	0.1881	-
0.3153	710	0.1869	-
0.3197	720	0.1758	-
0.3242	730	0.1568	-
0.3286	740	0.1711	-
0.3330	750	0.1687	-
0.3375	760	0.1616	-
0.3419	770	0.1503	-
0.3464	780	0.1694	-
0.3508	790	0.1678	-
0.3552	800	0.1638	-
0.3597	810	0.1562	-
0.3641	820	0.1629	-
0.3686	830	0.139	-
0.3730	840	0.1395	-
0.3774	850	0.1721	-
0.3819	860	0.1601	-
0.3863	870	0.1685	-
0.3908	880	0.1655	-
0.3952	890	0.1517	-
0.3996	900	0.1313	-
0.4041	910	0.1804	-
0.4085	920	0.161	-
0.4130	930	0.1381	-
0.4174	940	0.1407	-
0.4218	950	0.1557	-
0.4263	960	0.1392	-
0.4307	970	0.1522	-
0.4352	980	0.1483	-
0.4396	990	0.1429	-
0.4440	1000	0.1384	0.1443
0.4485	1010	0.1643	-
0.4529	1020	0.141	-
0.4574	1030	0.1539	-
0.4618	1040	0.1468	-
0.4663	1050	0.1426	-
0.4707	1060	0.1461	-
0.4751	1070	0.1637	-
0.4796	1080	0.1491	-
0.4840	1090	0.1328	-
0.4885	1100	0.1307	-
0.4929	1110	0.1406	-
0.4973	1120	0.1503	-
0.5018	1130	0.1436	-
0.5062	1140	0.1395	-
0.5107	1150	0.1298	-
0.5151	1160	0.1218	-
0.5195	1170	0.1272	-
0.5240	1180	0.1435	-
0.5284	1190	0.1302	-
0.5329	1200	0.131	-
0.5373	1210	0.1432	-
0.5417	1220	0.1432	-
0.5462	1230	0.1219	-
0.5506	1240	0.1291	-
0.5551	1250	0.1453	-
0.5595	1260	0.1311	-
0.5639	1270	0.1395	-
0.5684	1280	0.1219	-
0.5728	1290	0.1282	-
0.5773	1300	0.125	-
0.5817	1310	0.1087	-
0.5861	1320	0.1272	-
0.5906	1330	0.1325	-
0.5950	1340	0.115	-
0.5995	1350	0.1262	-
0.6039	1360	0.1132	-
0.6083	1370	0.1064	-
0.6128	1380	0.1343	-
0.6172	1390	0.1294	-
0.6217	1400	0.1182	-
0.6261	1410	0.1207	-
0.6306	1420	0.1048	-
0.6350	1430	0.1236	-
0.6394	1440	0.123	-
0.6439	1450	0.1113	-
0.6483	1460	0.1086	-
0.6528	1470	0.1164	-
0.6572	1480	0.1096	-
0.6616	1490	0.117	-
0.6661	1500	0.1386	-
0.6705	1510	0.1016	-
0.6750	1520	0.1199	-
0.6794	1530	0.1135	-
0.6838	1540	0.1142	-
0.6883	1550	0.1201	-
0.6927	1560	0.1206	-
0.6972	1570	0.1119	-
0.7016	1580	0.1041	-
0.7060	1590	0.1194	-
0.7105	1600	0.1194	-
0.7149	1610	0.1106	-
0.7194	1620	0.1015	-
0.7238	1630	0.1114	-
0.7282	1640	0.1163	-
0.7327	1650	0.107	-
0.7371	1660	0.1141	-
0.7416	1670	0.1	-
0.7460	1680	0.1242	-
0.7504	1690	0.1048	-
0.7549	1700	0.1192	-
0.7593	1710	0.1197	-
0.7638	1720	0.1059	-
0.7682	1730	0.1054	-
0.7726	1740	0.1041	-
0.7771	1750	0.1069	-
0.7815	1760	0.0988	-
0.7860	1770	0.1058	-
0.7904	1780	0.1237	-
0.7948	1790	0.1165	-
0.7993	1800	0.1083	-
0.8037	1810	0.107	-
0.8082	1820	0.121	-
0.8126	1830	0.1115	-
0.8171	1840	0.1058	-
0.8215	1850	0.1013	-
0.8259	1860	0.1052	-
0.8304	1870	0.1155	-
0.8348	1880	0.1257	-
0.8393	1890	0.0886	-
0.8437	1900	0.0993	-
0.8481	1910	0.1065	-
0.8526	1920	0.1021	-
0.8570	1930	0.1	-
0.8615	1940	0.1139	-
0.8659	1950	0.0951	-
0.8703	1960	0.1039	-
0.8748	1970	0.104	-
0.8792	1980	0.0943	-
0.8837	1990	0.1014	-
0.8881	2000	0.0991	0.0990
0.8925	2010	0.1029	-
0.8970	2020	0.0904	-
0.9014	2030	0.1073	-
0.9059	2040	0.09	-
0.9103	2050	0.1038	-
0.9147	2060	0.1102	-
0.9192	2070	0.0906	-
0.9236	2080	0.0967	-
0.9281	2090	0.101	-
0.9325	2100	0.101	-
0.9369	2110	0.111	-
0.9414	2120	0.1108	-
0.9458	2130	0.1087	-
0.9503	2140	0.1	-
0.9547	2150	0.1014	-
0.9591	2160	0.1036	-
0.9636	2170	0.1049	-
0.9680	2180	0.1103	-
0.9725	2190	0.1001	-
0.9769	2200	0.1012	-
0.9813	2210	0.0931	-
0.9858	2220	0.094	-
0.9902	2230	0.1094	-
0.9947	2240	0.0974	-
0.9991	2250	0.0994	-
1.0040	2260	0.0852	-
1.0084	2270	0.0857	-
1.0129	2280	0.0961	-
1.0173	2290	0.0866	-
1.0218	2300	0.0727	-
1.0262	2310	0.072	-
1.0306	2320	0.0908	-
1.0351	2330	0.0842	-
1.0395	2340	0.1031	-
1.0440	2350	0.0996	-
1.0484	2360	0.089	-
1.0528	2370	0.1021	-
1.0573	2380	0.0938	-
1.0617	2390	0.097	-
1.0662	2400	0.09	-
1.0706	2410	0.0709	-
1.0750	2420	0.1024	-
1.0795	2430	0.0868	-
1.0839	2440	0.0853	-
1.0884	2450	0.0857	-
1.0928	2460	0.089	-
1.0972	2470	0.0843	-
1.1017	2480	0.1059	-
1.1061	2490	0.0868	-
1.1106	2500	0.0872	-
1.1150	2510	0.0787	-
1.1194	2520	0.0855	-
1.1239	2530	0.0954	-
1.1283	2540	0.0909	-
1.1328	2550	0.0833	-
1.1372	2560	0.0932	-
1.1417	2570	0.0891	-
1.1461	2580	0.0875	-
1.1505	2590	0.1109	-
1.1550	2600	0.095	-
1.1594	2610	0.0877	-
1.1639	2620	0.0896	-
1.1683	2630	0.0827	-
1.1727	2640	0.0918	-
1.1772	2650	0.0856	-
1.1816	2660	0.0956	-
1.1861	2670	0.0979	-
1.1905	2680	0.0899	-
1.1949	2690	0.0812	-
1.1994	2700	0.0801	-
1.2038	2710	0.0884	-
1.2083	2720	0.0858	-
1.2127	2730	0.0876	-
1.2171	2740	0.0676	-
1.2216	2750	0.0771	-
1.2260	2760	0.0822	-
1.2305	2770	0.1003	-
1.2349	2780	0.0743	-
1.2393	2790	0.0695	-
1.2438	2800	0.0969	-
1.2482	2810	0.0719	-
1.2527	2820	0.0925	-
1.2571	2830	0.0771	-
1.2615	2840	0.0822	-
1.2660	2850	0.0872	-
1.2704	2860	0.0825	-
1.2749	2870	0.0894	-
1.2793	2880	0.082	-
1.2837	2890	0.0875	-
1.2882	2900	0.0956	-
1.2926	2910	0.0644	-
1.2971	2920	0.0769	-
1.3015	2930	0.0892	-
1.3060	2940	0.0749	-
1.3104	2950	0.0896	-
1.3148	2960	0.0813	-
1.3193	2970	0.0856	-
1.3237	2980	0.0649	-
1.3282	2990	0.0701	-
1.3326	3000	0.0744	0.0767
1.3370	3010	0.0837	-
1.3415	3020	0.0853	-
1.3459	3030	0.0738	-
1.3504	3040	0.0967	-
1.3548	3050	0.0704	-
1.3592	3060	0.0676	-
1.3637	3070	0.0874	-
1.3681	3080	0.0779	-
1.3726	3090	0.0656	-
1.3770	3100	0.0907	-
1.3814	3110	0.0921	-
1.3859	3120	0.0746	-
1.3903	3130	0.0782	-
1.3948	3140	0.0711	-
1.3992	3150	0.0816	-
1.4036	3160	0.0836	-
1.4081	3170	0.0741	-
1.4125	3180	0.0693	-
1.4170	3190	0.076	-
1.4214	3200	0.0831	-
1.4258	3210	0.072	-
1.4303	3220	0.0715	-
1.4347	3230	0.0875	-
1.4392	3240	0.0868	-
1.4436	3250	0.06	-
1.4480	3260	0.0751	-
1.4525	3270	0.0948	-
1.4569	3280	0.0764	-
1.4614	3290	0.0726	-
1.4658	3300	0.0793	-
1.4702	3310	0.0782	-
1.4747	3320	0.0846	-
1.4791	3330	0.0729	-
1.4836	3340	0.0777	-
1.4880	3350	0.0821	-
1.4925	3360	0.073	-
1.4969	3370	0.0691	-
1.5013	3380	0.0838	-
1.5058	3390	0.0838	-
1.5102	3400	0.0727	-
1.5147	3410	0.0912	-
1.5191	3420	0.0727	-
1.5235	3430	0.0798	-
1.5280	3440	0.0821	-
1.5324	3450	0.0709	-
1.5369	3460	0.073	-
1.5413	3470	0.0809	-
1.5457	3480	0.0793	-
1.5502	3490	0.0746	-
1.5546	3500	0.0726	-
1.5591	3510	0.0758	-
1.5635	3520	0.0692	-
1.5679	3530	0.0729	-
1.5724	3540	0.0647	-
1.5768	3550	0.0702	-
1.5813	3560	0.0628	-
1.5857	3570	0.071	-
1.5901	3580	0.0766	-
1.5946	3590	0.0854	-
1.5990	3600	0.0643	-
1.6035	3610	0.0642	-
1.6079	3620	0.0754	-
1.6123	3630	0.0712	-
1.6168	3640	0.0793	-
1.6212	3650	0.0681	-
1.6257	3660	0.0751	-
1.6301	3670	0.0696	-
1.6345	3680	0.0803	-
1.6390	3690	0.0685	-
1.6434	3700	0.064	-
1.6479	3710	0.0677	-
1.6523	3720	0.0729	-
1.6567	3730	0.0647	-
1.6612	3740	0.0857	-
1.6656	3750	0.0789	-
1.6701	3760	0.075	-
1.6745	3770	0.0688	-
1.6790	3780	0.0768	-
1.6834	3790	0.0588	-
1.6878	3800	0.0795	-
1.6923	3810	0.0587	-
1.6967	3820	0.0704	-
1.7012	3830	0.0666	-
1.7056	3840	0.0705	-
1.7100	3850	0.0826	-
1.7145	3860	0.0622	-
1.7189	3870	0.0723	-
1.7234	3880	0.0656	-
1.7278	3890	0.0717	-
1.7322	3900	0.0665	-
1.7367	3910	0.0634	-
1.7411	3920	0.0683	-
1.7456	3930	0.0704	-
1.75	3940	0.0643	-
1.7544	3950	0.0703	-
1.7589	3960	0.0714	-
1.7633	3970	0.0713	-
1.7678	3980	0.0653	-
1.7722	3990	0.0801	-
1.7766	4000	0.0612	0.0663
1.7811	4010	0.0636	-
1.7855	4020	0.0721	-
1.7900	4030	0.075	-
1.7944	4040	0.0763	-
1.7988	4050	0.073	-
1.8033	4060	0.0721	-
1.8077	4070	0.065	-
1.8122	4080	0.0708	-
1.8166	4090	0.0646	-
1.8210	4100	0.0714	-
1.8255	4110	0.0876	-
1.8299	4120	0.0647	-
1.8344	4130	0.0513	-
1.8388	4140	0.0568	-
1.8433	4150	0.0813	-
1.8477	4160	0.0667	-
1.8521	4170	0.0604	-
1.8566	4180	0.0586	-
1.8610	4190	0.0622	-
1.8655	4200	0.0606	-
1.8699	4210	0.0733	-
1.8743	4220	0.0676	-
1.8788	4230	0.0751	-
1.8832	4240	0.0702	-
1.8877	4250	0.0699	-
1.8921	4260	0.0677	-
1.8965	4270	0.0648	-
1.9010	4280	0.0593	-
1.9054	4290	0.0578	-
1.9099	4300	0.062	-
1.9143	4310	0.0752	-
1.9187	4320	0.0742	-
1.9232	4330	0.0617	-
1.9276	4340	0.0718	-
1.9321	4350	0.0734	-
1.9365	4360	0.056	-
1.9409	4370	0.068	-
1.9454	4380	0.0646	-
1.9498	4390	0.0671	-
1.9543	4400	0.0585	-
1.9587	4410	0.067	-
1.9631	4420	0.0527	-
1.9676	4430	0.0654	-
1.9720	4440	0.0624	-
1.9765	4450	0.0482	-
1.9809	4460	0.0535	-
1.9853	4470	0.0699	-
1.9898	4480	0.0521	-
1.9942	4490	0.0728	-
1.9987	4500	0.0667	-
2.0036	4510	0.0574	-
2.0080	4520	0.0653	-
2.0124	4530	0.0624	-
2.0169	4540	0.0589	-
2.0213	4550	0.0545	-
2.0258	4560	0.0628	-
2.0302	4570	0.0511	-
2.0346	4580	0.0546	-
2.0391	4590	0.0446	-
2.0435	4600	0.0549	-
2.0480	4610	0.0529	-
2.0524	4620	0.0531	-
2.0568	4630	0.0559	-
2.0613	4640	0.0539	-
2.0657	4650	0.0459	-
2.0702	4660	0.0602	-
2.0746	4670	0.0665	-
2.0790	4680	0.0617	-
2.0835	4690	0.0485	-
2.0879	4700	0.0555	-
2.0924	4710	0.0697	-
2.0968	4720	0.055	-
2.1012	4730	0.0602	-
2.1057	4740	0.0533	-
2.1101	4750	0.0558	-
2.1146	4760	0.0448	-
2.1190	4770	0.0612	-
2.1234	4780	0.0636	-
2.1279	4790	0.0497	-
2.1323	4800	0.0568	-
2.1368	4810	0.0575	-
2.1412	4820	0.056	-
2.1456	4830	0.06	-
2.1501	4840	0.0544	-
2.1545	4850	0.0569	-
2.1590	4860	0.0558	-
2.1634	4870	0.0582	-
2.1679	4880	0.0529	-
2.1723	4890	0.0667	-
2.1767	4900	0.0496	-
2.1812	4910	0.0583	-
2.1856	4920	0.0551	-
2.1901	4930	0.0554	-
2.1945	4940	0.0629	-
2.1989	4950	0.0639	-
2.2034	4960	0.0524	-
2.2078	4970	0.0587	-
2.2123	4980	0.0625	-
2.2167	4990	0.0654	-
2.2211	5000	0.047	0.0565
2.2256	5010	0.0581	-
2.2300	5020	0.053	-
2.2345	5030	0.0627	-
2.2389	5040	0.0625	-
2.2433	5050	0.0498	-
2.2478	5060	0.0641	-
2.2522	5070	0.0555	-
2.2567	5080	0.0628	-
2.2611	5090	0.0508	-
2.2655	5100	0.048	-
2.2700	5110	0.0662	-
2.2744	5120	0.0601	-
2.2789	5130	0.0527	-
2.2833	5140	0.0523	-
2.2877	5150	0.0609	-
2.2922	5160	0.0601	-
2.2966	5170	0.0504	-
2.3011	5180	0.0587	-
2.3055	5190	0.0568	-
2.3099	5200	0.054	-
2.3144	5210	0.0601	-
2.3188	5220	0.0582	-
2.3233	5230	0.0567	-
2.3277	5240	0.0419	-
2.3321	5250	0.0534	-
2.3366	5260	0.0634	-
2.3410	5270	0.0634	-
2.3455	5280	0.0478	-
2.3499	5290	0.0637	-
2.3544	5300	0.0661	-
2.3588	5310	0.0571	-
2.3632	5320	0.059	-
2.3677	5330	0.0605	-
2.3721	5340	0.0586	-
2.3766	5350	0.055	-
2.3810	5360	0.0566	-
2.3854	5370	0.0584	-
2.3899	5380	0.0478	-
2.3943	5390	0.0562	-
2.3988	5400	0.0534	-
2.4032	5410	0.0521	-
2.4076	5420	0.0615	-
2.4121	5430	0.0503	-
2.4165	5440	0.0448	-
2.4210	5450	0.0634	-
2.4254	5460	0.0551	-
2.4298	5470	0.0542	-
2.4343	5480	0.0538	-
2.4387	5490	0.0567	-
2.4432	5500	0.0441	-
2.4476	5510	0.0495	-
2.4520	5520	0.0535	-
2.4565	5530	0.0518	-
2.4609	5540	0.0646	-
2.4654	5550	0.0523	-
2.4698	5560	0.0539	-
2.4742	5570	0.0514	-
2.4787	5580	0.0556	-
2.4831	5590	0.0472	-
2.4876	5600	0.0383	-
2.4920	5610	0.0547	-
2.4964	5620	0.0574	-
2.5009	5630	0.0504	-
2.5053	5640	0.0469	-
2.5098	5650	0.0495	-
2.5142	5660	0.0515	-
2.5187	5670	0.0571	-
2.5231	5680	0.062	-
2.5275	5690	0.0529	-
2.5320	5700	0.0512	-
2.5364	5710	0.0544	-
2.5409	5720	0.044	-
2.5453	5730	0.0555	-
2.5497	5740	0.0614	-
2.5542	5750	0.0623	-
2.5586	5760	0.0482	-
2.5631	5770	0.0609	-
2.5675	5780	0.054	-
2.5719	5790	0.0572	-
2.5764	5800	0.0582	-
2.5808	5810	0.0418	-
2.5853	5820	0.0593	-
2.5897	5830	0.0561	-
2.5941	5840	0.0567	-
2.5986	5850	0.0514	-
2.6030	5860	0.0506	-
2.6075	5870	0.0535	-
2.6119	5880	0.0554	-
2.6163	5890	0.0514	-
2.6208	5900	0.0475	-
2.6252	5910	0.0578	-
2.6297	5920	0.0582	-
2.6341	5930	0.0523	-
2.6385	5940	0.0475	-
2.6430	5950	0.0484	-
2.6474	5960	0.0482	-
2.6519	5970	0.0595	-
2.6563	5980	0.0521	-
2.6607	5990	0.0546	-
2.6652	6000	0.0565	0.0508
2.6696	6010	0.0503	-
2.6741	6020	0.0497	-
2.6785	6030	0.0528	-
2.6829	6040	0.0599	-
2.6874	6050	0.0588	-
2.6918	6060	0.0591	-
2.6963	6070	0.0561	-
2.7007	6080	0.0493	-
2.7052	6090	0.0539	-
2.7096	6100	0.052	-
2.7140	6110	0.0579	-
2.7185	6120	0.041	-
2.7229	6130	0.0502	-
2.7274	6140	0.0484	-
2.7318	6150	0.0469	-
2.7362	6160	0.0544	-
2.7407	6170	0.0553	-
2.7451	6180	0.0515	-
2.7496	6190	0.0482	-
2.7540	6200	0.052	-
2.7584	6210	0.0623	-
2.7629	6220	0.0544	-
2.7673	6230	0.0589	-
2.7718	6240	0.0516	-
2.7762	6250	0.0482	-
2.7806	6260	0.0659	-
2.7851	6270	0.0505	-
2.7895	6280	0.0609	-
2.7940	6290	0.047	-
2.7984	6300	0.0422	-
2.8028	6310	0.0528	-
2.8073	6320	0.0576	-
2.8117	6330	0.0551	-
2.8162	6340	0.0461	-
2.8206	6350	0.0589	-
2.8250	6360	0.0537	-
2.8295	6370	0.0531	-
2.8339	6380	0.0425	-
2.8384	6390	0.0562	-
2.8428	6400	0.0509	-
2.8472	6410	0.049	-
2.8517	6420	0.0487	-
2.8561	6430	0.0523	-
2.8606	6440	0.0511	-
2.8650	6450	0.0515	-
2.8694	6460	0.0627	-
2.8739	6470	0.0546	-
2.8783	6480	0.0519	-
2.8828	6490	0.0476	-
2.8872	6500	0.0476	-
2.8917	6510	0.0539	-
2.8961	6520	0.0432	-
2.9005	6530	0.0462	-
2.9050	6540	0.0492	-
2.9094	6550	0.0372	-
2.9139	6560	0.049	-
2.9183	6570	0.053	-
2.9227	6580	0.0462	-
2.9272	6590	0.052	-
2.9316	6600	0.0552	-
2.9361	6610	0.0487	-
2.9405	6620	0.0527	-
2.9449	6630	0.0545	-
2.9494	6640	0.0558	-
2.9538	6650	0.0458	-
2.9583	6660	0.0474	-
2.9627	6670	0.0509	-
2.9671	6680	0.0561	-
2.9716	6690	0.0444	-
2.9760	6700	0.0494	-
2.9805	6710	0.0441	-
2.9849	6720	0.0479	-
2.9893	6730	0.0508	-
2.9938	6740	0.0469	-
2.9982	6750	0.048	-
3.0031	6760	0.0455	-
3.0075	6770	0.0388	-
3.0120	6780	0.0458	-
3.0164	6790	0.0465	-
3.0209	6800	0.0452	-
3.0253	6810	0.0417	-
3.0298	6820	0.0476	-
3.0342	6830	0.0465	-
3.0386	6840	0.0516	-
3.0431	6850	0.0372	-
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3.0653	6900	0.0403	-
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3.4560	7780	0.0337	-
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3.6825	8290	0.0431	-
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3.7225	8380	0.0373	-
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3.7313	8400	0.0451	-
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3.7580	8460	0.0346	-
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3.8823	8740	0.0384	-
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3.9845	8970	0.0466	-
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3.9933	8990	0.0346	-
3.9978	9000	0.0354	0.0419
4.0027	9010	0.0416	-
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4.0293	9070	0.0362	-
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4.2025	9460	0.0368	-
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4.2202	9500	0.0375	-
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4.2602	9590	0.0359	-
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4.2691	9610	0.0358	-
4.2735	9620	0.0375	-
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4.3002	9680	0.0341	-
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4.3490	9790	0.0323	-
4.3535	9800	0.04	-
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4.4290	9970	0.0386	-
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4.4423	10000	0.0384	0.0402
4.4467	10010	0.0387	-
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4.8819	10990	0.0313	-
4.8863	11000	0.039	0.0375
4.8908	11010	0.034	-
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4.9440	11130	0.0386	-
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4.9574	11160	0.0345	-
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5.0022	11260	0.0315	-
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5.0200	11300	0.0255	-
5.0244	11310	0.0321	-
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5.0333	11330	0.0271	-
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5.0422	11350	0.0313	-
5.0466	11360	0.026	-
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5.0599	11390	0.0354	-
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5.0688	11410	0.0338	-
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5.0777	11430	0.0274	-
5.0821	11440	0.029	-
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5.0999	11480	0.0281	-
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5.1088	11500	0.0273	-
5.1132	11510	0.0288	-
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5.1221	11530	0.0351	-
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5.1488	11590	0.0242	-
5.1532	11600	0.0315	-
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5.1710	11640	0.0256	-
5.1754	11650	0.0246	-
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5.1976	11700	0.0323	-
5.2020	11710	0.0394	-
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5.2242	11760	0.0305	-
5.2287	11770	0.0329	-
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5.2420	11800	0.0394	-
5.2464	11810	0.0313	-
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5.2553	11830	0.028	-
5.2598	11840	0.0315	-
5.2642	11850	0.0276	-
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5.2775	11880	0.0373	-
5.2820	11890	0.0315	-
5.2864	11900	0.0339	-
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5.2953	11920	0.0354	-
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5.3042	11940	0.0333	-
5.3086	11950	0.0448	-
5.3131	11960	0.028	-
5.3175	11970	0.0311	-
5.3219	11980	0.0271	-
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6.2194	14000	0.0365	0.0324
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6.6634	15000	0.0314	0.0312
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7.1079	16000	0.0257	0.0300
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9.8619	22200	0.0169	-
9.8663	22210	0.017	-
9.8708	22220	0.0155	-
9.8752	22230	0.0138	-
9.8797	22240	0.0211	-
9.8841	22250	0.0188	-
9.8885	22260	0.0181	-
9.8930	22270	0.0202	-
9.8974	22280	0.0134	-
9.9019	22290	0.0166	-
9.9063	22300	0.0148	-
9.9107	22310	0.0186	-
9.9152	22320	0.0168	-
9.9196	22330	0.0154	-
9.9241	22340	0.0183	-
9.9285	22350	0.0211	-
9.9329	22360	0.0208	-
9.9374	22370	0.0192	-
9.9418	22380	0.0189	-
9.9463	22390	0.0183	-
9.9507	22400	0.0123	-
9.9552	22410	0.0217	-
9.9596	22420	0.02	-
9.9640	22430	0.0183	-
9.9685	22440	0.0169	-
9.9729	22450	0.02	-
9.9774	22460	0.0209	-
9.9818	22470	0.0211	-
9.9862	22480	0.0207	-
9.9907	22490	0.0209	-
9.9951	22500	0.0174	-
9.9996	22510	0.0162	-

The bold row denotes the saved checkpoint.

Framework Versions

Python: 3.10.12
Sentence Transformers: 4.0.2
Transformers: 4.51.2
PyTorch: 2.1.0+cu118
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}
}

suhwan3
/

mini_64_step2

SentenceTransformer based on sentence-transformers/all-MiniLM-L12-v2

Model Details

Model Description

Model Sources

Full Model Architecture

Usage

Direct Usage (Sentence Transformers)

Training Details

Training Dataset

fine_tuning_stage2

Evaluation Dataset

fine_tuning_stage2

Training Hyperparameters

Non-Default Hyperparameters

All Hyperparameters

Training Logs

Framework Versions

Citation

BibTeX

Sentence Transformers

TripletLoss

Model tree for suhwan3/mini_64_step2

Dataset used to train suhwan3/mini_64_step2