This is a sentence-transformers model finetuned from intfloat/e5-large-v2. It maps sentences & paragraphs to a 1024-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: intfloat/e5-large-v2
Maximum Sequence Length: 512 tokens
Output Dimensionality: 1024 dimensions
Similarity Function: Cosine Similarity

Model Sources

Documentation: Sentence Transformers Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertModel'})
  (1): Pooling({'word_embedding_dimension': 1024, '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 = [
    'shizuko yoshinaga first time shots',
    "Debut of a MILF AV Actress Document. First Time Shots! Cute Smile and Made-to-Fuck Body on a Mature Woman in her 50's. Shizuko Yoshinaga categorized as Mature Woman, Shaved Pussy, Documentary",
    '50 And Filming Her First Creampie Fumie Saito categorized as Mature Woman, Documentary',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 1024]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.4913, 0.1716],
#         [0.4913, 1.0000, 0.4514],
#         [0.1716, 0.4514, 1.0000]])

Evaluation

Metrics

Information Retrieval

Dataset: test
Evaluated with InformationRetrievalEvaluator

Metric	Value
cosine_accuracy@1	0.6884
cosine_accuracy@3	0.8069
cosine_accuracy@5	0.8451
cosine_accuracy@10	0.8874
cosine_precision@1	0.6884
cosine_precision@3	0.269
cosine_precision@5	0.169
cosine_precision@10	0.0887
cosine_recall@1	0.6884
cosine_recall@3	0.8069
cosine_recall@5	0.8451
cosine_recall@10	0.8874
cosine_ndcg@10	0.7879
cosine_mrr@10	0.756
cosine_map@100	0.7597

Training Details

Training Dataset

Unnamed Dataset

Size: 257,891 training samples
Columns: sentence_0, sentence_1, and sentence_2
Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 sentence_2
type string string string
details
min: 5 tokens
mean: 11.54 tokens
max: 70 tokens
min: 9 tokens
mean: 34.42 tokens
max: 176 tokens
min: 10 tokens
mean: 28.4 tokens
max: 122 tokens

Samples:

sentence_0	sentence_1	sentence_2
`mature masseuse stimulates client's throat and pussy`	`Remarkable Masseuse's Dick Stimulates Throat And Vagina 12 People 240 Minutes 5 categorized as Mature Woman, Massage`	`Mature Woman On The Forefront Of The Sex Industry - Surprisingly Successful Mature Woman Massage Specialist's Seductive Technique! categorized as Mature Woman, Massage`
`Threesome featuring Akari Yukino and deep pussy digging`	`Akari Yukino In Sweaty, Deep, Pussy Digging Sex categorized as Slender, Shemale, Anal Play, Threesome / Foursome, Facial, Daydreamers`	`Super Fuck-a-thon! Cum-a-thon! 24-Hours Akari Hoshino Total Guerrilla SPECIAL!! categorized as Car Sex, Threesome / Foursome`
`man massages woman at spa with lotion`	`A Male Esthetician In A Women-Only Massage Parlor... categorized as Massage Parlor, Lotion`	`New Masseur Came to a Women Only Massage Parlor and Starts Sending Numerous Women To Pleasure Heaven! categorized as Massage Parlor, Voyeur, Massage`

Loss: MultipleNegativesRankingLoss with these parameters:
json
1{ 2 "scale": 20.0, 3 "similarity_fct": "cos_sim", 4 "gather_across_devices": false, 5 "directions": [ 6 "query_to_doc" 7 ], 8 "partition_mode": "joint", 9 "hardness_mode": null, 10 "hardness_strength": 0.0 11}

Training Hyperparameters

Non-Default Hyperparameters

per_device_train_batch_size: 10
num_train_epochs: 2
eval_strategy: steps
per_device_eval_batch_size: 10
multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand

per_device_train_batch_size: 10
num_train_epochs: 2
max_steps: -1
learning_rate: 5e-05
lr_scheduler_type: linear
lr_scheduler_kwargs: None
warmup_steps: 0
optim: adamw_torch_fused
optim_args: None
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
optim_target_modules: None
gradient_accumulation_steps: 1
average_tokens_across_devices: True
max_grad_norm: 1
label_smoothing_factor: 0.0
bf16: False
fp16: False
bf16_full_eval: False
fp16_full_eval: False
tf32: None
gradient_checkpointing: False
gradient_checkpointing_kwargs: None
torch_compile: False
torch_compile_backend: None
torch_compile_mode: None
use_liger_kernel: False
liger_kernel_config: None
use_cache: False
neftune_noise_alpha: None
torch_empty_cache_steps: None
auto_find_batch_size: False
log_on_each_node: True
logging_nan_inf_filter: True
include_num_input_tokens_seen: no
log_level: passive
log_level_replica: warning
disable_tqdm: False
project: huggingface
trackio_space_id: trackio
eval_strategy: steps
per_device_eval_batch_size: 10
prediction_loss_only: True
eval_on_start: False
eval_do_concat_batches: True
eval_use_gather_object: False
eval_accumulation_steps: None
include_for_metrics: []
batch_eval_metrics: False
save_only_model: False
save_on_each_node: False
enable_jit_checkpoint: False
push_to_hub: False
hub_private_repo: None
hub_model_id: None
hub_strategy: every_save
hub_always_push: False
hub_revision: None
load_best_model_at_end: False
ignore_data_skip: False
restore_callback_states_from_checkpoint: False
full_determinism: False
seed: 42
data_seed: None
use_cpu: False
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
dataloader_drop_last: False
dataloader_num_workers: 0
dataloader_pin_memory: True
dataloader_persistent_workers: False
dataloader_prefetch_factor: None
remove_unused_columns: True
label_names: None
train_sampling_strategy: random
length_column_name: length
ddp_find_unused_parameters: None
ddp_bucket_cap_mb: None
ddp_broadcast_buffers: False
ddp_backend: None
ddp_timeout: 1800
fsdp: []
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
deepspeed: None
debug: []
skip_memory_metrics: True
do_predict: False
resume_from_checkpoint: None
warmup_ratio: None
local_rank: -1
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: round_robin
router_mapping: {}
learning_rate_mapping: {}

Training Logs