Add new SentenceTransformer model

1081282 verified 9 months ago

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metadata

tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:1893949
  - loss:Contrastive
base_model: nreimers/MiniLM-L6-H384-uncased
widget:
  - source_sentence: what medicine can i give my dog for kennel cough?
    sentences:
      - >-
        Your veterinarian can prescribe a round of antibiotics to help your dog
        recover faster. Some of the most widely prescribed medications for
        Kennel Cough are Baytril, Doxycycline, and Clavamox. However, because
        the disease is caused by both a virus and bacteria, the dog will require
        a dual-purpose treatment.
      - >-
        Preventing Kennel Cough The kennel cough vaccination is given once a
        year, but should not be given at the same time as their annual booster.
        If you're going on holiday, it's important that your dog is vaccinated
        against kennel cough. Often kennels will not accept your dog if it has
        not had a kennel cough vaccination.
      - >-
        The Driver Guide A driver guide will act as your driver and tour guide
        in one person. He is less knowledgeable than the tour guide, but can
        provide you with the most important information, help you to get around
        at the destination and give tips about the best photo spots.
  - source_sentence: how to redirect http traffic to https in tomcat?
    sentences:
      - >-
        Yes, but it depends on the previous contents of the bag. FoodSaver® Bags
        that previously contained fruits, vegetables, breads and dry goods can
        be washed and reused. ... FoodSaver® Bags that contained greasy or oily
        foods should also be discarded, as they may be difficult to clean.
        FoodSaver® Bags can be washed by hand.
      - >-
        ['Go to SymantecDLP\\Protect\\tomcat\\conf directory.', 'Edit the file
        server.xml.', 'Add the following above the first <connector> entry: ...
        ', 'Save the server. ... ', 'Edit the web.xml file in the same
        directory.', 'Scroll to the bottom of the file and add the following
        just above the </web-app> entry: ... ', 'Save the web.xml file.']
      - >-
        Cause: The Enforce Console's tomcat webserver is configured to only
        accept HTTPS requests. Any non-secure HTTP request will not be
        redirected. By default the tomcat webserver is not configured to
        redirect HTTP requests to HTTPS.
  - source_sentence: when did the last rick and morty air?
    sentences:
      - >-
        Instead of Naota, the main character of the original FLCL (pronounced
        “Fooly Cooly”), Progressive focuses on Hidomi, a reserved girl who
        closes herself off from the world by wearing headphones (that aren't
        actually playing music).
      - >-
        On May 10, 2018, Adult Swim announced a long-term deal with the
        creators, ordering 70 new episodes of Rick and Morty over an unknown
        number of seasons. As of May 31, 2020, 41 episodes of Rick and Morty
        have aired, concluding the fourth season.
      - >-
        What time is Rick and Morty season 4 episode 8 out? The latest episode
        of Rick and Morty airs on Sunday, May 17 on Adult Swim. US fans can
        stream the new episode of Rick and Morty when it airs on the channel.
  - source_sentence: are clothes made of plastic?
    sentences:
      - >-
        It might surprise you, but you're probably wearing plastic clothes. ...
        Many of our clothes contain plastics like polyester, nylon, acrylic and
        polyamide. In fact most new fabrics are made of plastic – up to 64% of
        them. The thing is, every time we wash these materials they shed
        millions of plastic microfibres.
      - >-
        General Pharmacology. Beta-blockers are drugs that bind to
        beta-adrenoceptors and thereby block the binding of norepinephrine and
        epinephrine to these receptors. ... Second generation beta-blockers are
        more cardioselective in that they are relatively selective for β1
        adrenoceptors.
      - >-
        It might surprise you, but you're probably wearing plastic clothes. ...
        Many of our clothes contain plastics like polyester, nylon, acrylic and
        polyamide. In fact most new fabrics are made of plastic – up to 64% of
        them. The thing is, every time we wash these materials they shed
        millions of plastic microfibres.
  - source_sentence: are emg pickups any good?
    sentences:
      - >-
        EMGs are a one trick pony, and only sound good for high gain
        applications. Sort of, they definitely aren't as flexible as most
        passive options, but most metal oriented passive pickups have the same
        issue. A lot of guitarists forget that EMG makes more pickups than just
        the 81/85 set.
      - >-
        Among guitar and bass accessories, the company sells active humbucker
        pickups, such as the EMG 81, the EMG 85, the EMG 60, and the EMG 89.
        They also produce passive pickups such as the EMG-HZ Series, which
        include SRO-OC1's and SC Sets.
      - >-
        You can find the star next to the abandoned mansion. The Treasure Map
        Loading Screen is unlocked through the battle pass, and if you look at
        the treasure map loading screen you'll see a knife pointing in this
        location.
pipeline_tag: sentence-similarity
library_name: sentence-transformers

ColBERT based on nreimers/MiniLM-L6-H384-uncased

This is a sentence-transformers model finetuned from nreimers/MiniLM-L6-H384-uncased. It maps sentences & paragraphs to a 128-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: nreimers/MiniLM-L6-H384-uncased
Maximum Sequence Length: 31 tokens
Output Dimensionality: 128 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

ColBERT(
  (0): Transformer({'max_seq_length': 31, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Dense({'in_features': 384, 'out_features': 128, 'bias': False, 'activation_function': 'torch.nn.modules.linear.Identity'})
)

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("ayushexel/colbert-MiniLM-L6-H384-uncased-gooaq-1995000")
# Run inference
sentences = [
    'are emg pickups any good?',
    "EMGs are a one trick pony, and only sound good for high gain applications. Sort of, they definitely aren't as flexible as most passive options, but most metal oriented passive pickups have the same issue. A lot of guitarists forget that EMG makes more pickups than just the 81/85 set.",
    "Among guitar and bass accessories, the company sells active humbucker pickups, such as the EMG 81, the EMG 85, the EMG 60, and the EMG 89. They also produce passive pickups such as the EMG-HZ Series, which include SRO-OC1's and SC Sets.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 128]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

Unnamed Dataset

Size: 1,893,949 training samples
Columns: question, answer, and negative

Approximate statistics based on the first 1000 samples:

	question	answer	negative
type	string	string	string
details	min: 9 tokens mean: 13.01 tokens max: 27 tokens	min: 16 tokens mean: 31.78 tokens max: 32 tokens	min: 14 tokens mean: 31.66 tokens max: 32 tokens

Samples:

question	answer	negative
`what is the relationship between humility and thankfulness?`	`how gratitude can influence humility and vice versa. Humility is characterized by low self-focus, secure sense of self, and increased valuation of others. Gratitude is marked by a sense that one has benefited from the actions of another.`	`-hum-, root. -hum- comes from Latin, where it has the meaning "ground. '' This meaning is found in such words as: exhume, humble, humiliate, humility, humus, posthumous.`
`what is the difference between usb a b c?`	`The USB-A has a much larger physical connector than the Type C, Type C is around the same size as a micro-USB connector. Unlike, Type A, you won't need to try and insert it, flip it over and then flip it over once more just to find the right orientation when trying to make a connection.`	`First the transfer rates: USB 2.0 offers transfer rates of 480 Mbps and USB 3.0 offers transfer rates of 4.8 Gbps - that's 10 times faster. ... USB 2.0 provided up to 500 mA whereas USB 3.0 provides up to 900 mA, allowing power hungry devices to now be bus powered.`
`how hyaluronic acid is made?`	`Hyaluronic acid is a substance that is naturally present in the human body. It is found in the highest concentrations in fluids in the eyes and joints. The hyaluronic acid that is used as medicine is extracted from rooster combs or made by bacteria in the laboratory.`	`Hyaluronic acid helps your skin hang on to the moisture. 2. ... Hyaluronic acid by itself is non-comedogenic (doesn't clog pores), but you should be careful when choosing a hyaluronic acid serum that the ingredient list doesn't contain any sneaky pore-clogging ingredients you're not expecting.`

Loss: pylate.losses.contrastive.Contrastive

Evaluation Dataset

Unnamed Dataset

Size: 5,000 evaluation samples
Columns: question, answer, and negative_1

Approximate statistics based on the first 1000 samples:

	question	answer	negative_1
type	string	string	string
details	min: 9 tokens mean: 12.96 tokens max: 22 tokens	min: 19 tokens mean: 31.7 tokens max: 32 tokens	min: 14 tokens mean: 31.43 tokens max: 32 tokens

Samples:

question	answer	negative_1
`are tefal ingenio pans suitable for induction hobs?`	`Tefal Ingenio is a revolutionary concept that brings a whole new take on versatility. ... The frying pans also feature Tefal's iconic Thermo-Spot which lets you know when the pan has reached optimal cooking temperature. The Ingenio Induction range is compatible with all hobs and is also dishwasher safe.`	`Tefal Ingenio is a revolutionary concept that brings a whole new take on versatility. ... The frying pans also feature Tefal's iconic Thermo-Spot which lets you know when the pan has reached optimal cooking temperature. The Ingenio Induction range is compatible with all hobs and is also dishwasher safe.`
`how many continuing education hours is acls?`	`The ACLS, PALS, and NRP certification courses are approved for 8 CEUs/CMEs, and recertification courses are approved for 4 CEUs/CMEs. The BLS certification course is approved for 4 CEUs/CMEs and the recertification course is approved for 2 CEUs/CMEs. For more information, please visit our Accreditation page.`	`The foremost difference between the two is their advancement level. Essentially, ACLS is a sophisticated and more advanced course and builds upon the major fundamentals developed during BLS. The main purpose of BLS and ACLS certification are well explained in this article.`
`what are the health benefits of drinking peppermint tea?`	`['Makes you Stress Free. When it comes to relieving stress and anxiety, peppermint tea is one of the best allies. ... ', 'Sleep-Friendly. ... ', 'Aids in Weight Loss. ... ', 'Cure for an Upset Stomach. ... ', 'Improves Digestion. ... ', 'Boosts Immune System. ... ', 'Fights Bad Breath.']`	`Peppermint tea is a popular herbal tea that is naturally calorie- and caffeine-free. Some research has suggested that the oils in peppermint may have a number of other health benefits, such as fresher breath, better digestion, and reduced pain from headaches. Peppermint tea also has antibacterial properties.`

Loss: pylate.losses.contrastive.Contrastive

Training Hyperparameters

Non-Default Hyperparameters

eval_strategy: steps
per_device_train_batch_size: 256
per_device_eval_batch_size: 256
learning_rate: 3e-06
num_train_epochs: 1
warmup_ratio: 0.1
seed: 12
bf16: True
dataloader_num_workers: 12
load_best_model_at_end: True

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 256
per_device_eval_batch_size: 256
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: 3e-06
weight_decay: 0.0
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-08
max_grad_norm: 1.0
num_train_epochs: 1
max_steps: -1
lr_scheduler_type: linear
lr_scheduler_kwargs: {}
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: True
logging_nan_inf_filter: True
save_safetensors: True
save_on_each_node: False
save_only_model: False
restore_callback_states_from_checkpoint: False
no_cuda: False
use_cpu: False
use_mps_device: False
seed: 12
data_seed: None
jit_mode_eval: False
use_ipex: False
bf16: True
fp16: False
fp16_opt_level: O1
half_precision_backend: 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: 12
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
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
average_tokens_across_devices: False
prompts: None
batch_sampler: batch_sampler
multi_dataset_batch_sampler: proportional

Training Logs

Epoch	Step	Training Loss
0.0001	1	10.8061
0.0270	200	8.9391
0.0541	400	5.1795
0.0811	600	2.3951
0.1081	800	1.6927
0.1352	1000	1.404
0.1622	1200	1.2496
0.1892	1400	1.1613
0.2162	1600	1.0843
0.2433	1800	1.0427
0.2703	2000	1.0005
0.2973	2200	0.9695
0.3244	2400	0.9325
0.3514	2600	0.9122
0.3784	2800	0.8832
0.4055	3000	0.8689
0.4325	3200	0.8626
0.4595	3400	0.8452
0.4866	3600	0.8329
0.5136	3800	0.8132
0.5406	4000	0.8111
0.5676	4200	0.7952
0.5947	4400	0.7892
0.6217	4600	0.7772
0.6487	4800	0.7793
0.6758	5000	0.7705
0.7028	5200	0.7692
0.7298	5400	0.7625
0.7569	5600	0.7595
0.7839	5800	0.7405
0.8109	6000	0.7513
0.8380	6200	0.7396
0.8650	6400	0.7312
0.8920	6600	0.7325
0.9190	6800	0.7371
0.9461	7000	0.7422
0.9731	7200	0.7296

Framework Versions

Python: 3.11.0
Sentence Transformers: 4.0.1
Transformers: 4.50.3
PyTorch: 2.6.0+cu124
Accelerate: 1.5.2
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",
}