In the Preferences section of Choice, you can adjust how you view and utilize
key features. To do this, open your account and tap on "More," then select "My
Preferences." Switch to the Dark Theme by choosing the first option labeled "DARK
THEME" in the menu. To go back to the default Light Theme, open the menu and select
the Light Theme option.'

'Watchlists are a handy feature that allows you to save your preferred stocks for easier and faster trading or investment decisions. You can access the Watchlist by selecting it from the bottom tab on the app.

When creating a new Watchlist, you can add up to 5 lists, each capable of holding 50 stocks. To add stocks to an empty Watchlist, use the "Search & Add" button, which will guide you to search for the desired stock and add it to your list.

Once you have stocks in your Watchlist, you can utilize the Searchbox in each individual Watchlist to easily find specific stocks by typing their initials. Additionally, the Searchbox is equipped with a FILTER feature that allows you to refine your search by choosing the Exchange or sorting the stocks alphabetically or by percentage change.

To customize your Watchlist further, you can rearrange the order of stocks, rename the Watchlist, and delete unwanted stocks. Simply long-press on a stock to enter editing mode, where you can rename it, drag it to a new position on the list, or remove it by using the Trash icon. Remember to save your changes to keep your Watchlist organized.

To switch between Watchlists, you can either press the individual button for each list or swipe left on the app. This way, you can manage multiple Watchlists with ease.'
source_sentence: What information does the Profit & Loss report on the platform display, and how can I customize it? sentences:
- '### More>Message Hub
  
  FAQ:
  
  Where can I find the different message sections in this section?
  
  Answer:
  
  To access the various message sections, navigate to More and then click on Message Hub. This section contains all the different message sections available for you to view and interact with.'
- 'Position Section:
  
  Under the Positions Tab, you can view the current value and overall gain/loss of your positions, including Futures & Options and cash/equity orders executed on the same day.
  - LIST: This section displays your invested value compared to the current value, which changes with market movements. It also shows your overall profit/loss. You can easily see this information at a glance.
  - SEARCH: Here, you can search for specific trades you entered or exited. You can filter your trades based on options like ALL, INTRADAY, TODAY, POSITION, ALPHABETICALLY, P&L, P&L%, and Quantity.
  - CONVERT POSITION: You can switch your positions from Intraday to Delivery or vice versa by selecting the Convert Position option.
  - SCRIP INFO: Clicking here will take you to a page dedicated to the scrip. You can also initiate new trades from this section.
  - DETAILS: This shows trade details for a particular scrip. By clicking on the "VIEW TRADES" hyperlink, you can see all trades you''ve made for that scrip.
  - BUY/SELL: This option allows you to place orders to enter or exit trades.
  Orders Section:
  
  This section displays Intraday trades and delivery orders, categorized as PENDING, EXECUTED, TRADES, and OTHERS.
  1. Pending: Shows orders that were not executed, partially executed, or rejected. You can edit these orders by tapping on them.
  2. Executed: Lists all orders that were successfully executed, providing details such as INTRADAY, Last Traded Price (LTP), Market Closing Price, lots, and time. You can view trade details and history by clicking on the "VIEW TRADES" hyperlink.
  3. Trades: Displays the list of executed trades, especially for those trades that were completed in multiple steps.
  4. Others: Lists rejected trades along with reasons and additional details.'
- 'Question:
  
  How can I access detailed Reports of my trades and financial summaries on the platform?
  
  Answer:
  
  To access detailed Reports of your trades and financial summaries on the platform, you can go to the bottom tab and click on "More" followed by "Reports". There, you will find the following sections:
  
  P&L Report:
  
  The Profit & Loss report displays your net P&L for trades. By default, it shows all trades taken during the current accounting year along with expenses. The report includes Total Realized P&L and Total Unrealized P&L at the bottom strip. You can filter the report using Exchange, From Date, and To Date options. Additionally, you can search for specific details and download the report in PDF format or send it to your registered email.
  
  Ledger:
  
  The Ledger report resembles a typical account ledger, with Debit and Credit columns for the current FY year. Debit entries, representing sums owed, are displayed in red with negative values, while Credit entries, representing sums received, are shown in green with positive values. The report also shows the total closing balance at the bottom strip. Similar to the P&L report, you can filter, search, download in PDF format, and send this report via email. Moreover, you can access a detailed report by tapping on the top right corner for more actions such as sharing, saving, or emailing for future reference.
  
  Back Office:
  
  For more intricate and customized reports, a complete back-end panel named "Reports" is available. This panel allows you to view detailed reports and extract customized data as per your requirements. Login details for this panel are provided post-registration completion.'
source_sentence: How does the time to start trading vary based on whether a client is KYC verified or not? sentences:
- 'Preferences
  
  To access your Preferences in Choice and customize how you view and use key features, follow these steps:
  1. Open your account and tap on "More."
  2. Select "My Preferences."
  Dark Theme:
  
  Enjoy our sleek Dark Theme by selecting the very first option in the menu labeled "DARK THEME." To switch back to the default Light Theme, open the menu and select the Light Theme option.
  
  Cleaned Answer:
  
  In the Preferences section of Choice, you can adjust how you view and utilize key features. To do this, open your account and tap on "More," then select "My Preferences." Switch to the Dark Theme by choosing the first option labeled "DARK THEME" in the menu. To go back to the default Light Theme, open the menu and select the Light Theme option.'
- "Sign In Process:\n\nFirst Time Login:\n\n1. Enter your Client ID and the
  \ system-generated password provided.\n2. Create a new password that is alphanumeric
  \ (6-12 characters) with special characters.\n3. Confirm the new password.\n4.
  \ Set a new PIN (4-6 digits).\n5. Proceed to your account by clicking on the Next
  \ Button.\n\nExisting User Login:\n\n1. Enter your Client ID, Password, and
  \ PIN that you have set.\n2. \n\nActivating Fingerprint/Face ID:\n\n1. After
  \ entering Client ID and Password, enter the PIN.\n2. Choose to enable Fingerprint/Face
  \ ID authentication (available for certain devices).\n3. Next time, use Fingerprint/Face
  \ ID instead of the PIN to log in.\n\nForgot Password:\n\n1. Click on 'Forgot
  \ Password' on the Login Page and provide Client ID or PAN.\n2. Receive a system-generated
  \ password on your registered Email or Mobile Number.\n3. Create a new password
  \ with special characters as instructed and confirm it.\n\nForgot PIN:\n\n\
  1. On the Login Page, click 'Forgot PIN' and receive a system-generated PIN.\n\
  2. Create a new PIN and confirm it.\n\nChanging Password:\n\n1. Go to Menu
    \ > My Profile > Change Password.\n2. Enter Current Password, new password, and
    \ confirm.\n3. Click on Change Password.\n\nChanging PIN:\n\n1. Go to Menu
    \ > My Profile > Change PIN.\n2. Enter Current PIN, new PIN, and confirm.\n3.
    \ Click on Change PIN.\n\nAccount Locked Due to Incorrect Password:\n\n1.
    \ If your account is locked, tap 'Forgot Password' and follow the instructions
    \ to unlock it."
- 'Once you have completed your onboarding, you will receive a Unique Client ID (trading code). The time it takes for you to start trading will depend on whether you are KYC verified or not.
  
  If you are KYC verified:
  - If your account status is "Yes," you will need to verify, download, print, sign, and courier the pre-filled forms sent to your registered email address.
  - Your account will be active within 7 working hours from the time we receive your documents.
  - If your account status is "No," you will follow the same process, and your account will be active within 7 working days from the time we receive your documents.
  You will receive important emails regarding your account:
  1. Pending Documents Email: This email will inform you of any required documents and the time it will take for you to start trading.
  2. Login Credential Email: You will receive your Client ID and a system-generated password to log in for the first time.
  3. Welcome Email: This email will contain essential information like your Client ID, relevant documents, and back office login details.
  If you don''t receive these emails, contact us at care@choiceindia.com or call us at (+91) 88-2424-2424 with the subject "activate your account."'
source_sentence: How can I access and customize my Preferences in Choice? sentences:
- 'Preferences
  
  To access your Preferences in Choice and customize how you view and use key features, follow these steps:
  1. Open your account and tap on "More."
  2. Select "My Preferences."
  Dark Theme:
  
  Enjoy our sleek Dark Theme by selecting the very first option in the menu labeled "DARK THEME." To switch back to the default Light Theme, open the menu and select the Light Theme option.
  
  Cleaned Answer:
  
  In the Preferences section of Choice, you can adjust how you view and utilize key features. To do this, open your account and tap on "More," then select "My Preferences." Switch to the Dark Theme by choosing the first option labeled "DARK THEME" in the menu. To go back to the default Light Theme, open the menu and select the Light Theme option.'
- "To find a specific company or ETF on the Choice platform, you can follow these
  \ steps:\n\n1. Using Search:\n- Type the first three letters of the company's
  \ name (e.g., ICICI) to see a list of affiliated companies/ETFs on NSE/BSE. \n\
  - Choose your segment (Equity, Derivatives, Commodities, or Currency).\n- Select
    \ the specific company from the results drop-down to view its overview.\n- Add
    \ the company to your WatchList or set a price alert.\n\n2. Scrip Page - Cash
    \ and F&O:\n- View detailed information about a company.\n- Search by typing the
    \ first 3 letters of the company name and selecting it for the overview.\n\n3.
    \ Overview Section:\n- Provides essential details like OPEN, HIGH, LOW, CLOSE.\n\
  - Click (i) for more details like PRICE TICK, MARKET LOT, CIRCUIT RANGE, etc.\n\
  - Market Depth shows BID and ASK numbers with quantities.\n\n4. Technical Section:\n\
  - View Technical data and use the CHART tool for analysis.\n\n5. Pivot Points:\n\
  - Shows RESISTANCE and SUPPORT levels.\n- Displays numbers for DAILY assessment
    \ by default, switch timeframes if needed.\n\n6. Futures Section:\n- Displays
    \ future prices for near term, mid term, and far term.\n\n7. Recent News:\n- Displays
    \ news related to the company from various sources.\n\n8. Scrip Page - Derivatives
    \ (F&O):\n- Search for company and view open Call/Put contracts.\n- Select a contract
    \ and view the Option Chain.\n- Buy/Sell contracts and execute orders.\n\nThese
    \ steps will help you navigate and use the features available on the Choice platform
    \ effectively."
- "To find a specific company or ETF on the Choice platform, you can follow these
  \ steps:\n\n1. Using Search:\n- Type the first three letters of the company's
  \ name (e.g., ICICI) to see a list of affiliated companies/ETFs on NSE/BSE. \n\
  - Choose your segment (Equity, Derivatives, Commodities, or Currency).\n- Select
    \ the specific company from the results drop-down to view its overview.\n- Add
    \ the company to your WatchList or set a price alert.\n\n2. Scrip Page - Cash
    \ and F&O:\n- View detailed information about a company.\n- Search by typing the
    \ first 3 letters of the company name and selecting it for the overview.\n\n3.
    \ Overview Section:\n- Provides essential details like OPEN, HIGH, LOW, CLOSE.\n\
  - Click (i) for more details like PRICE TICK, MARKET LOT, CIRCUIT RANGE, etc.\n\
  - Market Depth shows BID and ASK numbers with quantities.\n\n4. Technical Section:\n\
  - View Technical data and use the CHART tool for analysis.\n\n5. Pivot Points:\n\
  - Shows RESISTANCE and SUPPORT levels.\n- Displays numbers for DAILY assessment
    \ by default, switch timeframes if needed.\n\n6. Futures Section:\n- Displays
    \ future prices for near term, mid term, and far term.\n\n7. Recent News:\n- Displays
    \ news related to the company from various sources.\n\n8. Scrip Page - Derivatives
    \ (F&O):\n- Search for company and view open Call/Put contracts.\n- Select a contract
    \ and view the Option Chain.\n- Buy/Sell contracts and execute orders.\n\nThese
    \ steps will help you navigate and use the features available on the Choice platform
    \ effectively." pipeline_tag: sentence-similarity library_name: sentence-transformers

SentenceTransformer based on sentence-transformers/multi-qa-MiniLM-L6-cos-v1

This is a sentence-transformers model finetuned from sentence-transformers/multi-qa-MiniLM-L6-cos-v1. 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/multi-qa-MiniLM-L6-cos-v1
Maximum Sequence Length: 512 tokens
Output Dimensionality: 384 tokens
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}) 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("Atharva26/sentence-transformer-finetuned-faq")
# Run inference
sentences = [
    'How can I access and customize my Preferences in Choice?',
    'Preferences\n\nTo access your Preferences in Choice and customize how you view and use key features, follow these steps:\n1. Open your account and tap on "More."\n2. Select "My Preferences."\n\nDark Theme:\nEnjoy our sleek Dark Theme by selecting the very first option in the menu labeled "DARK THEME." To switch back to the default Light Theme, open the menu and select the Light Theme option.\n\n---\n**Cleaned Answer:**\nIn the Preferences section of Choice, you can adjust how you view and utilize key features. To do this, open your account and tap on "More," then select "My Preferences." Switch to the Dark Theme by choosing the first option labeled "DARK THEME" in the menu. To go back to the default Light Theme, open the menu and select the Light Theme option.',
    "To find a specific company or ETF on the Choice platform, you can follow these steps:\n\n1. Using Search:\n- Type the first three letters of the company's name (e.g., ICICI) to see a list of affiliated companies/ETFs on NSE/BSE. \n- Choose your segment (Equity, Derivatives, Commodities, or Currency).\n- Select the specific company from the results drop-down to view its overview.\n- Add the company to your WatchList or set a price alert.\n\n2. Scrip Page - Cash and F&O:\n- View detailed information about a company.\n- Search by typing the first 3 letters of the company name and selecting it for the overview.\n\n3. Overview Section:\n- Provides essential details like OPEN, HIGH, LOW, CLOSE.\n- Click (i) for more details like PRICE TICK, MARKET LOT, CIRCUIT RANGE, etc.\n- Market Depth shows BID and ASK numbers with quantities.\n\n4. Technical Section:\n- View Technical data and use the CHART tool for analysis.\n\n5. Pivot Points:\n- Shows RESISTANCE and SUPPORT levels.\n- Displays numbers for DAILY assessment by default, switch timeframes if needed.\n\n6. Futures Section:\n- Displays future prices for near term, mid term, and far term.\n\n7. Recent News:\n- Displays news related to the company from various sources.\n\n8. Scrip Page - Derivatives (F&O):\n- Search for company and view open Call/Put contracts.\n- Select a contract and view the Option Chain.\n- Buy/Sell contracts and execute orders.\n\nThese steps will help you navigate and use the features available on the Choice platform effectively.",
]
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: 32
per_device_eval_batch_size: 32
learning_rate: 2e-05
num_train_epochs: 2
lr_scheduler_type: cosine
warmup_ratio: 0.3

All Hyperparameters

Click to expand

overwrite_output_dir: False
do_predict: False
eval_strategy: steps
prediction_loss_only: True
per_device_train_batch_size: 32
per_device_eval_batch_size: 32
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: 2
max_steps: -1
lr_scheduler_type: cosine
lr_scheduler_kwargs: {}
warmup_ratio: 0.3
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: 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: 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

Epoch	Step	Training Loss	loss
0.0345	2	4.7333	-
0.0690	4	4.706	-
0.1034	6	4.7013	-
0.1379	8	4.721	-
0.1724	10	4.6913	-
0.2069	12	4.6712	-
0.2414	14	4.6583	-
0.2586	15	-	4.6563
0.2759	16	4.6551	-
0.3103	18	4.6552	-
0.3448	20	4.6531	-
0.3793	22	4.5423	-
0.4138	24	4.5717	-
0.4483	26	4.5314	-
0.4828	28	4.5324	-
0.5172	30	4.453	4.5032
0.5517	32	4.5038	-
0.5862	34	4.4599	-
0.6207	36	4.3689	-
0.6552	38	4.4138	-
0.6897	40	4.3598	-
0.7241	42	4.3962	-
0.7586	44	4.2948	-
0.7759	45	-	4.3505
0.7931	46	4.3345	-
0.8276	48	4.4072	-
0.8621	50	4.2972	-
0.8966	52	4.3006	-
0.9310	54	4.3104	-
0.9655	56	4.2059	-
1.0	58	4.2059	-
1.0345	60	4.2079	4.2349
1.0690	62	4.23	-
1.1034	64	4.2325	-
1.1379	66	4.1432	-
1.1724	68	4.235	-
1.2069	70	4.1383	-
1.2414	72	4.1703	-
1.2759	74	4.1145	-
1.2931	75	-	4.1638
1.3103	76	4.0703	-
1.3448	78	4.1306	-
1.3793	80	4.0792	-
1.4138	82	4.102	-
1.4483	84	4.1091	-
1.4828	86	4.1437	-
1.5172	88	4.1011	-
1.5517	90	4.0618	4.1283
1.5862	92	4.0696	-
1.6207	94	4.1508	-
1.6552	96	4.0182	-
1.6897	98	4.1442	-
1.7241	100	4.2017	-
1.7586	102	4.097	-
1.7931	104	4.2886	-
1.8103	105	-	4.1213
1.8276	106	4.0573	-
1.8621	108	4.1101	-
1.8966	110	4.1942	-
1.9310	112	4.122	-
1.9655	114	4.1533	-
2.0	116	4.0961	-

Framework Versions

Python: 3.10.12
Sentence Transformers: 3.1.1
Transformers: 4.45.2
PyTorch: 2.5.1+cu121
Accelerate: 1.1.1
Datasets: 3.1.0
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",
}

TripletLoss

bibtex

@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}
}