This is a sentence-transformers model finetuned from sentence-transformers/all-MiniLM-L6-v2. 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-L6-v2
Maximum Sequence Length: 256 tokens
Output Dimensionality: 384 tokens
Similarity Function: Cosine Similarity

Language: en
License: apache-2.0

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': 256, '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.

python

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'momax q led desk lamp charging base',
    'JUTE tote',
    'sephora selftanning body mist',
]
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 Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 64
per_device_eval_batch_size: 64
learning_rate: 2e-05
num_train_epochs: 4
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: 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: 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: 4
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: 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}
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: False
hub_always_push: False
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
include_inputs_for_metrics: False
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
dispatch_batches: None
split_batches: 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
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional

Training Logs

Click to expand

Epoch	Step	Training Loss	loss
0.0040	500	11.0937	-
0.0080	1000	10.4099	-
0.0120	1500	9.5203	-
0.0160	2000	8.5096	-
0.0200	2500	7.7136	-
0.0240	3000	7.0622	-
0.0280	3500	6.656	-
0.0320	4000	6.4973	-
0.0360	4500	6.4192	-
0.0400	5000	6.3691	-
0.0440	5500	6.3185	-
0.0480	6000	6.3008	-
0.0520	6500	6.2712	-
0.0560	7000	6.1812	-
0.0600	7500	6.1804	-
0.0640	8000	6.2158	-
0.0680	8500	6.1458	-
0.0720	9000	6.1272	-
0.0760	9500	6.1191	-
0.0800	10000	6.1326	-
0.0839	10500	6.1149	-
0.0879	11000	6.113	-
0.0919	11500	6.0837	-
0.0959	12000	6.0694	-
0.0999	12500	6.0823	-
0.1039	13000	6.0237	-
0.1079	13500	6.0599	-
0.1119	14000	6.0395	-
0.1159	14500	6.0278	-
0.1199	15000	6.0407	-
0.1239	15500	5.9927	-
0.1279	16000	6.007	-
0.1319	16500	5.9956	-
0.1359	17000	5.9771	-
0.1399	17500	5.9549	-
0.1439	18000	6.0142	-
0.1479	18500	5.9834	-
0.1519	19000	5.9187	-
0.1559	19500	5.9599	-
0.1599	20000	5.9338	-
0.1639	20500	5.9025	-
0.1679	21000	5.9289	-
0.1719	21500	5.9003	-
0.1759	22000	5.9284	-
0.1799	22500	5.9084	-
0.1839	23000	5.9171	-
0.1879	23500	5.9341	-
0.1919	24000	5.9336	-
0.1959	24500	5.8839	-
0.1999	25000	5.9089	-
0.2039	25500	5.8855	-
0.2079	26000	5.8739	-
0.2119	26500	5.8558	-
0.2159	27000	5.8715	-
0.2199	27500	5.8257	-
0.2239	28000	5.8951	-
0.2279	28500	5.8489	-
0.2319	29000	5.853	-
0.2359	29500	5.865	-
0.2399	30000	5.8399	-
0.2438	30500	5.8356	-
0.2478	31000	5.828	-
0.2518	31500	5.8467	-
0.2558	32000	5.856	-
0.2598	32500	5.8059	-
0.2638	33000	5.8476	-
0.2678	33500	5.7928	-
0.2718	34000	5.8001	-
0.2758	34500	5.8136	-
0.2798	35000	5.8163	-
0.2838	35500	5.7882	-
0.2878	36000	5.7785	-
0.2918	36500	5.7778	-
0.2958	37000	5.7418	-
0.2998	37500	5.8014	-
0.3038	38000	5.8088	-
0.3078	38500	5.7458	-
0.3118	39000	5.7981	-
0.3158	39500	5.7693	-
0.3198	40000	5.7612	-
0.3238	40500	5.7782	-
0.3278	41000	5.7576	-
0.3318	41500	5.7524	-
0.3358	42000	5.73	-
0.3398	42500	5.7805	-
0.3438	43000	5.7296	-
0.3478	43500	5.7579	-
0.3518	44000	5.7592	-
0.3558	44500	5.7467	-
0.3598	45000	5.7158	-
0.3638	45500	5.731	-
0.3678	46000	5.7482	-
0.3718	46500	5.7176	-
0.3758	47000	5.7273	-
0.3798	47500	5.6963	-
0.3838	48000	5.6946	-
0.3878	48500	5.7576	-
0.3918	49000	5.6921	-
0.3958	49500	5.6965	-
0.3998	50000	5.7335	-
0.4038	50500	5.7064	-
0.4077	51000	5.6945	-
0.4117	51500	5.7319	-
0.4157	52000	5.735	-
0.4197	52500	5.6942	-
0.4237	53000	5.7037	-
0.4277	53500	5.6724	-
0.4317	54000	5.6971	-
0.4357	54500	5.7163	-
0.4397	55000	5.6842	-
0.4437	55500	5.6924	-
0.4477	56000	5.6814	-
0.4517	56500	5.671	-
0.4557	57000	5.6563	-
0.4597	57500	5.6385	-
0.4637	58000	5.6595	-
0.4677	58500	5.6744	-
0.4717	59000	5.6285	-
0.4757	59500	5.6202	-
0.4797	60000	5.6484	-
0.4837	60500	5.647	-
0.4877	61000	5.6641	-
0.4917	61500	5.6681	-
0.4957	62000	5.6344	-
0.4997	62500	5.6253	-
0.5037	63000	5.6258	-
0.5077	63500	5.6525	-
0.5117	64000	5.5764	-
0.5157	64500	5.6265	-
0.5197	65000	5.6201	-
0.5237	65500	5.6297	-
0.5277	66000	5.6133	-
0.5317	66500	5.5981	-
0.5357	67000	5.6085	-
0.5397	67500	5.6128	-
0.5437	68000	5.6237	-
0.5477	68500	5.6005	-
0.5517	69000	5.6156	-
0.5557	69500	5.5723	-
0.5597	70000	5.5817	-
0.5637	70500	5.6186	-
0.5677	71000	5.588	-
0.5716	71500	5.5219	-
0.5756	72000	5.5718	-
0.5796	72500	5.5878	-
0.5836	73000	5.5702	-
0.5876	73500	5.5274	-
0.5916	74000	5.5608	-
0.5956	74500	5.5328	-
0.5996	75000	5.5848	-
0.6036	75500	5.5713	-
0.6076	76000	5.5529	-
0.6116	76500	5.5224	-
0.6156	77000	5.57	-
0.6196	77500	5.5874	-
0.6236	78000	5.5441	-
0.6276	78500	5.5127	-
0.6316	79000	5.5557	-
0.6356	79500	5.5101	-
0.6396	80000	5.5153	-
0.6436	80500	5.4958	-
0.6476	81000	5.518	-
0.6516	81500	5.5022	-
0.6556	82000	5.5013	-
0.6596	82500	5.4832	-
0.6636	83000	5.5174	-
0.6676	83500	5.5052	-
0.6716	84000	5.5315	-
0.6756	84500	5.533	-
0.6796	85000	5.4937	-
0.6836	85500	5.4697	-
0.6876	86000	5.5085	-
0.6916	86500	5.4901	-
0.6956	87000	5.4667	-
0.6996	87500	5.5047	-
0.7036	88000	5.495	-
0.7076	88500	5.4677	-
0.7116	89000	5.4779	-
0.7156	89500	5.4467	-
0.7196	90000	5.4772	-
0.7236	90500	5.4988	-
0.7276	91000	5.4832	-
0.7315	91500	5.4669	-
0.7355	92000	5.447	-
0.7395	92500	5.4725	-
0.7435	93000	5.458	-
0.7475	93500	5.4872	-
0.7515	94000	5.4491	-
0.7555	94500	5.4729	-
0.7595	95000	5.4506	-
0.7635	95500	5.4585	-
0.7675	96000	5.4173	-
0.7715	96500	5.4371	-
0.7755	97000	5.4433	-
0.7795	97500	5.4664	-
0.7835	98000	5.4302	-
0.7875	98500	5.4389	-
0.7915	99000	5.4451	-
0.7955	99500	5.4432	-
0.7995	100000	5.4322	-
0.8035	100500	5.4166	-
0.8075	101000	5.4405	-
0.8115	101500	5.4114	-
0.8155	102000	5.4646	-
0.8195	102500	5.442	-
0.8235	103000	5.4145	-
0.8275	103500	5.432	-
0.8315	104000	5.4458	-
0.8355	104500	5.4044	-
0.8395	105000	5.4376	-
0.8435	105500	5.432	-
0.8475	106000	5.4196	-
0.8515	106500	5.4193	-
0.8555	107000	5.4272	-
0.8595	107500	5.4235	-
0.8635	108000	5.4332	-
0.8675	108500	5.4434	-
0.8715	109000	5.3986	-
0.8755	109500	5.3906	-
0.8795	110000	5.3775	-
0.8835	110500	5.3805	-
0.8875	111000	5.404	-
0.8915	111500	5.3914	-
0.8954	112000	5.4238	-
0.8994	112500	5.4133	-
0.9034	113000	5.3882	-
0.9074	113500	5.4108	-
0.9114	114000	5.4203	-
0.9154	114500	5.3607	-
0.9194	115000	5.3691	-
0.9234	115500	5.3354	-
0.9274	116000	5.3859	-
0.9314	116500	5.3877	-
0.9354	117000	5.3874	-
0.9394	117500	5.3595	-
0.9434	118000	5.3769	-
0.9474	118500	5.3635	-
0.9514	119000	5.3546	-
0.9554	119500	5.3652	-
0.9594	120000	5.3204	-
0.9634	120500	5.3674	-
0.9674	121000	5.3512	-
0.9714	121500	5.3539	-
0.9754	122000	5.3259	-
0.9794	122500	5.3189	-
0.9834	123000	5.342	-
0.9874	123500	5.3491	-
0.9914	124000	5.3455	-
0.9954	124500	5.3106	-
0.9994	125000	5.2932	-
1.0034	125500	5.3176	-
1.0074	126000	5.3073	-
1.0114	126500	5.3194	-
1.0154	127000	5.2482	-
1.0194	127500	5.2502	-
1.0234	128000	5.3199	-
1.0274	128500	5.2374	-
1.0314	129000	5.2641	-
1.0354	129500	5.2663	-
1.0394	130000	5.2887	-
1.0434	130500	5.2731	-
1.0474	131000	5.2297	-
1.0514	131500	5.2704	-
1.0553	132000	5.2723	-
1.0593	132500	5.2846	-
1.0633	133000	5.2857	-
1.0673	133500	5.2984	-
1.0713	134000	5.2492	-
1.0753	134500	5.2847	-
1.0793	135000	5.2376	-
1.0833	135500	5.2299	-
1.0873	136000	5.2214	-
1.0913	136500	5.2429	-
1.0953	137000	5.2232	-
1.0993	137500	5.261	-
1.1033	138000	5.2394	-
1.1073	138500	5.2877	-
1.1113	139000	5.1936	-
1.1153	139500	5.2483	-
1.1193	140000	5.2412	-
1.1233	140500	5.1841	-
1.1273	141000	5.2741	-
1.1313	141500	5.1711	-
1.1353	142000	5.2154	-
1.1393	142500	5.2667	-
1.1433	143000	5.217	-
1.1473	143500	5.261	-
1.1513	144000	5.2169	-
1.1553	144500	5.2471	-
1.1593	145000	5.2486	-
1.1633	145500	5.2252	-
1.1673	146000	5.2488	-
1.1713	146500	5.184	-
1.1753	147000	5.2547	-
1.1793	147500	5.207	-
1.1833	148000	5.2087	-
1.1873	148500	5.2478	-
1.1913	149000	5.2409	-
1.1953	149500	5.1968	-
1.1993	150000	5.182	-
1.2033	150500	5.1807	-
1.2073	151000	5.1927	-
1.2113	151500	5.1859	-
1.2153	152000	5.1874	-
1.2192	152500	5.2234	-
1.2232	153000	5.1858	-
1.2272	153500	5.2104	-
1.2312	154000	5.2259	-
1.2352	154500	5.2022	-
1.2392	155000	5.2162	-
1.2432	155500	5.1691	-
1.2472	156000	5.1845	-
1.2512	156500	5.1577	-
1.2552	157000	5.1921	-
1.2592	157500	5.2277	-
1.2632	158000	5.2049	-
1.2672	158500	5.1672	-
1.2712	159000	5.2376	-
1.2752	159500	5.1943	-
1.2792	160000	5.1384	-
1.2832	160500	5.1651	-
1.2872	161000	5.1992	-
1.2912	161500	5.1707	-
1.2952	162000	5.1796	-
1.2992	162500	5.0851	-
1.3032	163000	5.202	-
1.3072	163500	5.1546	-
1.3112	164000	5.1962	-
1.3152	164500	5.1498	-
1.3192	165000	5.1587	-
1.3232	165500	5.1674	-
1.3272	166000	5.1375	-
1.3312	166500	5.1558	-
1.3352	167000	5.1298	-
1.3392	167500	5.1469	-
1.3432	168000	5.0647	-
1.3472	168500	5.1455	-
1.3512	169000	5.1312	-
1.3552	169500	5.1067	-
1.3592	170000	5.109	-
1.3632	170500	5.1282	-
1.3672	171000	5.1348	-
1.3712	171500	5.1415	-
1.3752	172000	5.0964	-
1.3792	172500	5.1503	-
1.3831	173000	5.1629	-
1.3871	173500	5.105	-
1.3911	174000	5.0606	-
1.3951	174500	5.151	-
1.3991	175000	5.1262	-
1.4031	175500	5.1856	-
1.4071	176000	5.1216	-
1.4111	176500	5.1419	-
1.4151	177000	5.121	-
1.4191	177500	5.1393	-
1.4231	178000	5.1029	-
1.4271	178500	5.0734	-
1.4311	179000	5.1087	-
1.4351	179500	5.1404	-
1.4391	180000	5.1152	-
1.4431	180500	5.1041	-
1.4471	181000	5.0889	-
1.4511	181500	5.1602	-
1.4551	182000	5.1193	-
1.4591	182500	5.092	-
1.4631	183000	5.0901	-
1.4671	183500	5.0899	-
1.4711	184000	5.1426	-
1.4751	184500	5.0812	-
1.4791	185000	5.0964	-
1.4831	185500	5.0828	-
1.4871	186000	5.116	-
1.4911	186500	5.1069	-
1.4951	187000	5.0598	-
1.4991	187500	5.0734	-
1.5031	188000	5.0516	-
1.5071	188500	5.1049	-
1.5111	189000	5.0636	-
1.5151	189500	5.0715	-
1.5191	190000	5.0757	-
1.5231	190500	5.0947	-
1.5271	191000	5.0433	-
1.5311	191500	5.1079	-
1.5351	192000	5.0872	-
1.5391	192500	5.016	-
1.5430	193000	5.0627	-
1.5470	193500	5.0841	-
1.5510	194000	5.1012	-
1.5550	194500	5.0415	-
1.5590	195000	5.0871	-
1.5630	195500	5.0678	-
1.5670	196000	5.0399	-
1.5710	196500	5.0794	-
1.5750	197000	5.0639	-
1.5790	197500	5.0335	-
1.5830	198000	5.0606	-
1.5870	198500	5.1059	-
1.5910	199000	5.0426	-
1.5950	199500	5.0185	-
1.5990	200000	5.0194	-
1.6030	200500	5.0887	-
1.6070	201000	5.004	-
1.6110	201500	5.0834	-
1.6150	202000	5.0363	-
1.6190	202500	5.0819	-
1.6230	203000	5.0344	-
1.6270	203500	5.107	-
1.6310	204000	5.0201	-
1.6350	204500	5.0305	-
1.6390	205000	5.0074	-
1.6430	205500	5.0507	-
1.6470	206000	5.0419	-
1.6510	206500	5.0099	-
1.6550	207000	5.0673	-
1.6590	207500	5.0449	-
1.6630	208000	4.9631	-
1.6670	208500	5.0013	-
1.6710	209000	5.02	-
1.6750	209500	5.032	-
1.6790	210000	4.9984	-
1.6830	210500	4.987	-
1.6870	211000	5.0095	-
1.6910	211500	5.0801	-
1.6950	212000	5.0061	-
1.6990	212500	5.0193	-
1.7030	213000	5.0453	-
1.7069	213500	4.991	-
1.7109	214000	5.0149	-
1.7149	214500	5.0181	-
1.7189	215000	5.0341	-
1.7229	215500	4.9987	-
1.7269	216000	4.9864	-
1.7309	216500	4.993	-
1.7349	217000	4.9888	-
1.7389	217500	5.0125	-
1.7429	218000	5.0023	-
1.7469	218500	5.0205	-
1.7509	219000	5.0141	-
1.7549	219500	5.0071	-
1.7589	220000	4.9684	-
1.7629	220500	4.9898	-
1.7669	221000	4.9889	-
1.7709	221500	4.9894	-
1.7749	222000	4.989	-
1.7789	222500	4.9179	-
1.7829	223000	4.9818	-
1.7869	223500	5.0056	-
1.7909	224000	4.9475	-
1.7949	224500	5.0104	-
1.7989	225000	4.9827	-
1.8029	225500	4.9716	-
1.8069	226000	4.9924	-
1.8109	226500	5.0384	-
1.8149	227000	4.9853	-
1.8189	227500	4.9858	-
1.8229	228000	4.9423	-
1.8269	228500	4.9476	-
1.8309	229000	4.9631	-
1.8349	229500	4.9819	-
1.8389	230000	4.9464	-
1.8429	230500	4.9688	-
1.8469	231000	4.9569	-
1.8509	231500	4.9515	-
1.8549	232000	4.9447	-
1.8589	232500	4.9845	-
1.8629	233000	4.9834	-
1.8669	233500	4.9545	-
1.8708	234000	4.9452	-
1.8748	234500	4.9623	-
1.8788	235000	4.9869	-
1.8828	235500	4.9603	-
1.8868	236000	4.9504	-
1.8908	236500	4.9537	-
1.8948	237000	5.014	-
1.8988	237500	4.9226	-
1.9028	238000	4.9528	-
1.9068	238500	4.9213	-
1.9108	239000	4.8836	-
1.9148	239500	4.9354	-
1.9188	240000	4.8704	-
1.9228	240500	4.9336	-
1.9268	241000	4.8654	-
1.9308	241500	4.9376	-
1.9348	242000	4.9164	-
1.9388	242500	4.9584	-
1.9428	243000	4.8759	-
1.9468	243500	4.9324	-
1.9508	244000	4.8457	-
1.9548	244500	4.9048	-
1.9588	245000	4.9234	-
1.9628	245500	4.8536	-
1.9668	246000	4.9681	-
1.9708	246500	4.9161	-
1.9748	247000	4.9786	-
1.9788	247500	4.8784	-
1.9828	248000	4.9222	-
1.9868	248500	4.9061	-
1.9908	249000	4.9281	-
1.9948	249500	4.9007	-
1.9988	250000	4.9466	-
2.0028	250500	4.8483	-
2.0068	251000	4.8103	-
2.0108	251500	4.8288	-
2.0148	252000	4.8127	-
2.0188	252500	4.8619	-
2.0228	253000	4.7683	-
2.0268	253500	4.8246	-
2.0307	254000	4.7784	-
2.0347	254500	4.8416	-
2.0387	255000	4.7759	-
2.0427	255500	4.8185	-
2.0467	256000	4.7993	-
2.0507	256500	4.8505	-
2.0547	257000	4.7538	-
2.0587	257500	4.8128	-
2.0627	258000	4.7945	-
2.0667	258500	4.8436	-
2.0707	259000	4.8455	-
2.0747	259500	4.8235	-
2.0787	260000	4.7401	-
2.0827	260500	4.8347	-
2.0867	261000	4.7746	-
2.0907	261500	4.8129	-
2.0947	262000	4.8213	-
2.0987	262500	4.7762	-
2.1027	263000	4.8996	-
2.1067	263500	4.7671	-
2.1107	264000	4.7543	-
2.1147	264500	4.8171	-
2.1187	265000	4.8018	-
2.1227	265500	4.8622	-
2.1267	266000	4.7957	-
2.1307	266500	4.8256	-
2.1347	267000	4.7887	-
2.1387	267500	4.8366	-
2.1427	268000	4.7425	-
2.1467	268500	4.7731	-
2.1507	269000	4.7837	-
2.1547	269500	4.8199	-
2.1587	270000	4.8294	-
2.1627	270500	4.7913	-
2.1667	271000	4.7904	-
2.1707	271500	4.8006	-
2.1747	272000	4.7291	-
2.1787	272500	4.7825	-
2.1827	273000	4.7188	-
2.1867	273500	4.8076	-
2.1907	274000	4.8095	-
2.1946	274500	4.8016	-
2.1986	275000	4.7654	-
2.2026	275500	4.8253	-
2.2066	276000	4.7669	-
2.2106	276500	4.7752	-
2.2146	277000	4.8365	-
2.2186	277500	4.736	-
2.2226	278000	4.7251	-
2.2266	278500	4.7384	-
2.2306	279000	4.7001	-
2.2346	279500	4.8238	-
2.2386	280000	4.7455	-
2.2426	280500	4.7353	-
2.2466	281000	4.7557	-
2.2506	281500	4.7732	-
2.2546	282000	4.7795	-
2.2586	282500	4.8051	-
2.2626	283000	4.7726	-
2.2666	283500	4.8173	-
2.2706	284000	4.7607	-
2.2746	284500	4.7855	-
2.2786	285000	4.8191	-
2.2826	285500	4.7365	-
2.2866	286000	4.7416	-
2.2906	286500	4.7495	-
2.2946	287000	4.7597	-
2.2986	287500	4.7924	-
2.3026	288000	4.7603	-
2.3066	288500	4.7443	-
2.3106	289000	4.7826	-
2.3146	289500	4.7053	-
2.3186	290000	4.7274	-
2.3226	290500	4.7756	-
2.3266	291000	4.7881	-
2.3306	291500	4.7875	-
2.3346	292000	4.7254	-
2.3386	292500	4.7193	-
2.3426	293000	4.7639	-
2.3466	293500	4.7244	-
2.3506	294000	4.7996	-
2.3545	294500	4.7699	-
2.3585	295000	4.7504	-
2.3625	295500	4.6969	-
2.3665	296000	4.7523	-
2.3705	296500	4.6984	-
2.3745	297000	4.7297	-
2.3785	297500	4.7366	-
2.3825	298000	4.7177	-
2.3865	298500	4.7276	-
2.3905	299000	4.7916	-
2.3945	299500	4.7726	-
2.3985	300000	4.6847	4.6182
2.4025	300500	4.7426	-
2.4065	301000	4.7426	-
2.4105	301500	4.7588	-
2.4145	302000	4.7516	-
2.4185	302500	4.7318	-
2.4225	303000	4.7366	-
2.4265	303500	4.7328	-
2.4305	304000	4.687	-
2.4345	304500	4.6934	-
2.4385	305000	4.8018	-
2.4425	305500	4.709	-
2.4465	306000	4.6837	-
2.4505	306500	4.7268	-
2.4545	307000	4.7508	-
2.4585	307500	4.6809	-
2.4625	308000	4.7127	-
2.4665	308500	4.7319	-
2.4705	309000	4.6616	-
2.4745	309500	4.6795	-
2.4785	310000	4.6834	-
2.4825	310500	4.7565	-
2.4865	311000	4.71	-
2.4905	311500	4.7456	-
2.4945	312000	4.7009	-
2.4985	312500	4.7716	-
2.5025	313000	4.6919	-
2.5065	313500	4.7159	-
2.5105	314000	4.7297	-
2.5145	314500	4.7487	-
2.5184	315000	4.7104	-
2.5224	315500	4.6836	-
2.5264	316000	4.6765	-
2.5304	316500	4.7597	-
2.5344	317000	4.6589	-
2.5384	317500	4.6776	-
2.5424	318000	4.757	-
2.5464	318500	4.7112	-
2.5504	319000	4.7098	-
2.5544	319500	4.7395	-
2.5584	320000	4.7164	-
2.5624	320500	4.759	-
2.5664	321000	4.7274	-
2.5704	321500	4.6674	-
2.5744	322000	4.6751	-
2.5784	322500	4.613	-
2.5824	323000	4.6354	-
2.5864	323500	4.6394	-
2.5904	324000	4.6935	-
2.5944	324500	4.7022	-
2.5984	325000	4.6831	-
2.6024	325500	4.7033	-
2.6064	326000	4.7113	-
2.6104	326500	4.6515	-
2.6144	327000	4.5857	-
2.6184	327500	4.6675	-
2.6224	328000	4.7054	-
2.6264	328500	4.6774	-
2.6304	329000	4.6585	-
2.6344	329500	4.7232	-
2.6384	330000	4.6977	-
2.6424	330500	4.6576	-
2.6464	331000	4.6725	-
2.6504	331500	4.6805	-
2.6544	332000	4.6577	-
2.6584	332500	4.7071	-
2.6624	333000	4.6369	-
2.6664	333500	4.6759	-
2.6704	334000	4.6337	-
2.6744	334500	4.6379	-
2.6784	335000	4.6706	-
2.6823	335500	4.6853	-
2.6863	336000	4.7038	-
2.6903	336500	4.6554	-
2.6943	337000	4.6431	-
2.6983	337500	4.6991	-
2.7023	338000	4.6217	-
2.7063	338500	4.668	-
2.7103	339000	4.6611	-
2.7143	339500	4.6793	-
2.7183	340000	4.6465	-
2.7223	340500	4.6846	-
2.7263	341000	4.6407	-
2.7303	341500	4.7138	-
2.7343	342000	4.659	-
2.7383	342500	4.6315	-
2.7423	343000	4.6272	-
2.7463	343500	4.6833	-
2.7503	344000	4.6754	-
2.7543	344500	4.653	-
2.7583	345000	4.6996	-
2.7623	345500	4.679	-
2.7663	346000	4.6452	-
2.7703	346500	4.6275	-
2.7743	347000	4.6215	-
2.7783	347500	4.654	-
2.7823	348000	4.5852	-
2.7863	348500	4.5764	-
2.7903	349000	4.641	-
2.7943	349500	4.6139	-
2.7983	350000	4.6775	-
2.8023	350500	4.6022	-
2.8063	351000	4.6272	-
2.8103	351500	4.6111	-
2.8143	352000	4.58	-
2.8183	352500	4.6763	-
2.8223	353000	4.6233	-
2.8263	353500	4.5973	-
2.8303	354000	4.6608	-
2.8343	354500	4.592	-
2.8383	355000	4.6801	-
2.8422	355500	4.6838	-
2.8462	356000	4.596	-
2.8502	356500	4.59	-
2.8542	357000	4.5696	-
2.8582	357500	4.5852	-
2.8622	358000	4.6176	-
2.8662	358500	4.7878	-
2.8702	359000	4.5917	-
2.8742	359500	4.659	-
2.8782	360000	4.6217	-
2.8822	360500	4.5605	-
2.8862	361000	4.5948	-
2.8902	361500	4.6097	-
2.8942	362000	4.6381	-
2.8982	362500	4.5962	-
2.9022	363000	4.6115	-
2.9062	363500	4.6171	-
2.9102	364000	4.6593	-
2.9142	364500	4.6264	-
2.9182	365000	4.6625	-
2.9222	365500	4.6538	-
2.9262	366000	4.6148	-
2.9302	366500	4.6189	-
2.9342	367000	4.6181	-
2.9382	367500	4.6206	-
2.9422	368000	4.6196	-
2.9462	368500	4.6006	-
2.9502	369000	4.6136	-
2.9542	369500	4.6126	-
2.9582	370000	4.5722	-
2.9622	370500	4.6372	-
2.9662	371000	4.5645	-
2.9702	371500	4.6004	-
2.9742	372000	4.6302	-
2.9782	372500	4.596	-
2.9822	373000	4.5669	-
2.9862	373500	4.602	-
2.9902	374000	4.5663	-
2.9942	374500	4.642	-
2.9982	375000	4.6571	-
3.0022	375500	4.5416	-
3.0061	376000	4.401	-
3.0101	376500	4.5286	-
3.0141	377000	4.5782	-
3.0181	377500	4.4813	-
3.0221	378000	4.6178	-
3.0261	378500	4.465	-
3.0301	379000	4.54	-
3.0341	379500	4.4754	-
3.0381	380000	4.4952	-
3.0421	380500	4.4559	-
3.0461	381000	4.4628	-
3.0501	381500	4.4921	-
3.0541	382000	4.5431	-
3.0581	382500	4.458	-
3.0621	383000	4.4635	-
3.0661	383500	4.5708	-
3.0701	384000	4.527	-
3.0741	384500	4.4934	-
3.0781	385000	4.5327	-
3.0821	385500	4.4403	-
3.0861	386000	4.5091	-
3.0901	386500	4.5706	-
3.0941	387000	4.5111	-
3.0981	387500	4.4952	-
3.1021	388000	4.5416	-
3.1061	388500	4.4591	-
3.1101	389000	4.4738	-
3.1141	389500	4.514	-
3.1181	390000	4.5517	-
3.1221	390500	4.5412	-
3.1261	391000	4.4587	-
3.1301	391500	4.4099	-
3.1341	392000	4.5022	-
3.1381	392500	4.4698	-
3.1421	393000	4.4923	-
3.1461	393500	4.4601	-
3.1501	394000	4.5446	-
3.1541	394500	4.4247	-
3.1581	395000	4.4242	-
3.1621	395500	4.4761	-
3.1660	396000	4.4489	-
3.1700	396500	4.4729	-
3.1740	397000	4.4916	-
3.1780	397500	4.4595	-
3.1820	398000	4.4726	-
3.1860	398500	4.4582	-
3.1900	399000	4.4528	-
3.1940	399500	4.4559	-
3.1980	400000	4.4422	-
3.2020	400500	4.4876	-
3.2060	401000	4.4733	-
3.2100	401500	4.4214	-
3.2140	402000	4.4644	-
3.2180	402500	4.4732	-
3.2220	403000	4.4603	-
3.2260	403500	4.4993	-
3.2300	404000	4.4994	-
3.2340	404500	4.4778	-
3.2380	405000	4.5121	-
3.2420	405500	4.4108	-
3.2460	406000	4.3834	-
3.2500	406500	4.4434	-
3.2540	407000	4.4464	-
3.2580	407500	4.4645	-
3.2620	408000	4.5341	-
3.2660	408500	4.5013	-
3.2700	409000	4.4671	-
3.2740	409500	4.4962	-
3.2780	410000	4.444	-
3.2820	410500	4.5596	-
3.2860	411000	4.5458	-
3.2900	411500	4.4768	-
3.2940	412000	4.5219	-
3.2980	412500	4.4747	-
3.3020	413000	4.5522	-
3.3060	413500	4.4709	-
3.3100	414000	4.4982	-
3.3140	414500	4.4459	-
3.3180	415000	4.4523	-
3.3220	415500	4.4214	-
3.3260	416000	4.3863	-
3.3299	416500	4.4348	-
3.3339	417000	4.4873	-
3.3379	417500	4.5004	-
3.3419	418000	4.5359	-
3.3459	418500	4.458	-
3.3499	419000	4.4721	-
3.3539	419500	4.5148	-
3.3579	420000	4.4239	-
3.3619	420500	4.423	-
3.3659	421000	4.4774	-
3.3699	421500	4.4258	-
3.3739	422000	4.5019	-
3.3779	422500	4.4487	-
3.3819	423000	4.4691	-
3.3859	423500	4.5267	-
3.3899	424000	4.4422	-
3.3939	424500	4.4965	-
3.3979	425000	4.407	-
3.4019	425500	4.4443	-
3.4059	426000	4.5078	-
3.4099	426500	4.4561	-
3.4139	427000	4.4057	-
3.4179	427500	4.4829	-
3.4219	428000	4.4281	-
3.4259	428500	4.4486	-
3.4299	429000	4.4626	-
3.4339	429500	4.4792	-
3.4379	430000	4.4109	-
3.4419	430500	4.531	-
3.4459	431000	4.4599	-
3.4499	431500	4.376	-
3.4539	432000	4.4899	-
3.4579	432500	4.4339	-
3.4619	433000	4.3908	-
3.4659	433500	4.3601	-
3.4699	434000	4.4492	-
3.4739	434500	4.4114	-
3.4779	435000	4.3885	-
3.4819	435500	4.4452	-
3.4859	436000	4.4125	-
3.4899	436500	4.4369	-
3.4938	437000	4.4511	-
3.4978	437500	4.4088	-
3.5018	438000	4.4583	-
3.5058	438500	4.4259	-
3.5098	439000	4.4397	-
3.5138	439500	4.3635	-
3.5178	440000	4.4461	-
3.5218	440500	4.4595	-
3.5258	441000	4.5471	-
3.5298	441500	4.4739	-
3.5338	442000	4.4534	-
3.5378	442500	4.369	-
3.5418	443000	4.4104	-
3.5458	443500	4.4219	-
3.5498	444000	4.3791	-
3.5538	444500	4.4981	-
3.5578	445000	4.3899	-
3.5618	445500	4.4454	-
3.5658	446000	4.3621	-
3.5698	446500	4.4437	-
3.5738	447000	4.4827	-
3.5778	447500	4.4761	-
3.5818	448000	4.4698	-
3.5858	448500	4.4386	-
3.5898	449000	4.4147	-
3.5938	449500	4.4644	-
3.5978	450000	4.3913	-
3.6018	450500	4.4642	-
3.6058	451000	4.4529	-
3.6098	451500	4.4912	-
3.6138	452000	4.3711	-
3.6178	452500	4.5121	-
3.6218	453000	4.4718	-
3.6258	453500	4.4593	-
3.6298	454000	4.3954	-
3.6338	454500	4.3387	-
3.6378	455000	4.3933	-
3.6418	455500	4.4689	-
3.6458	456000	4.4221	-
3.6498	456500	4.4561	-
3.6537	457000	4.3731	-
3.6577	457500	4.4143	-
3.6617	458000	4.4378	-
3.6657	458500	4.3778	-
3.6697	459000	4.4467	-
3.6737	459500	4.4633	-
3.6777	460000	4.438	-
3.6817	460500	4.4633	-
3.6857	461000	4.4209	-
3.6897	461500	4.4838	-
3.6937	462000	4.3811	-
3.6977	462500	4.4388	-
3.7017	463000	4.462	-
3.7057	463500	4.3969	-
3.7097	464000	4.4324	-
3.7137	464500	4.3826	-
3.7177	465000	4.4277	-
3.7217	465500	4.4819	-
3.7257	466000	4.4314	-
3.7297	466500	4.4364	-
3.7337	467000	4.4119	-
3.7377	467500	4.4413	-
3.7417	468000	4.434	-
3.7457	468500	4.4263	-
3.7497	469000	4.4241	-
3.7537	469500	4.4055	-
3.7577	470000	4.4456	-
3.7617	470500	4.4056	-
3.7657	471000	4.4655	-
3.7697	471500	4.4211	-
3.7737	472000	4.4314	-
3.7777	472500	4.4651	-
3.7817	473000	4.3825	-
3.7857	473500	4.4665	-
3.7897	474000	4.4425	-
3.7937	474500	4.3956	-
3.7977	475000	4.4302	-
3.8017	475500	4.4057	-
3.8057	476000	4.337	-
3.8097	476500	4.4776	-
3.8137	477000	4.4289	-
3.8176	477500	4.4508	-
3.8216	478000	4.4438	-
3.8256	478500	4.3681	-
3.8296	479000	4.4492	-
3.8336	479500	4.3427	-
3.8376	480000	4.4412	-
3.8416	480500	4.385	-
3.8456	481000	4.401	-
3.8496	481500	4.3606	-
3.8536	482000	4.3404	-
3.8576	482500	4.4591	-
3.8616	483000	4.3984	-
3.8656	483500	4.4195	-
3.8696	484000	4.4414	-
3.8736	484500	4.4028	-
3.8776	485000	4.3685	-
3.8816	485500	4.3658	-
3.8856	486000	4.3967	-
3.8896	486500	4.5247	-
3.8936	487000	4.4359	-
3.8976	487500	4.4493	-
3.9016	488000	4.4604	-
3.9056	488500	4.3784	-
3.9096	489000	4.4631	-
3.9136	489500	4.4359	-
3.9176	490000	4.3923	-
3.9216	490500	4.3844	-
3.9256	491000	4.41	-
3.9296	491500	4.4547	-
3.9336	492000	4.3895	-
3.9376	492500	4.3827	-
3.9416	493000	4.3615	-
3.9456	493500	4.4237	-
3.9496	494000	4.4513	-
3.9536	494500	4.4038	-
3.9576	495000	4.4093	-
3.9616	495500	4.3791	-
3.9656	496000	4.2971	-
3.9696	496500	4.4166	-
3.9736	497000	4.454	-
3.9775	497500	4.4146	-
3.9815	498000	4.3621	-
3.9855	498500	4.3588	-
3.9895	499000	4.4758	-
3.9935	499500	4.4936	-
3.9975	500000	4.4108	-

Framework Versions

Python: 3.8.10
Sentence Transformers: 3.1.1
Transformers: 4.45.2
PyTorch: 2.4.1+cu118
Accelerate: 1.0.1
Datasets: 3.0.1
Tokenizers: 0.20.3

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",
}

CoSENTLoss