Model save
Browse files- 1_Pooling/config.json +1 -1
- README.md +373 -587
- model.safetensors +1 -1
- runs/May01_04-35-49_modal/events.out.tfevents.1746074151.modal.2.0 +2 -2
1_Pooling/config.json
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{
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-
"word_embedding_dimension":
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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{
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+
"word_embedding_dimension": 1024,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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README.md
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- generated_from_trainer
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- dataset_size:909
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- loss:MatryoshkaLoss
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- loss:
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base_model: BAAI/bge-
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widget:
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- source_sentence:
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sentences:
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that has any of the following upon the expiration of their current policy term
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are ineligible for a renewal offer and will be non-renewed: 1. any driver who
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requires an out-of-state sr-22/fr-44; 2. any driver with more than 9 bi novo points;
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3. any driver with: a. more than 1 major (maj) violation; b. more than 1 driving
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while under the influence (dwi) violation; c. more than 4 minor (min) violations;
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d. more than 4 speeding (spd) violations; or e. more than 2 at-fault accidents.
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d10 distant student discount a distant student is defined as an eligible-to-be-rated
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driver other than the primary named insured or spouse who is under the age of
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23, resides away from home, and is a full-time student enrolled at an educational
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institution located where the student resides.'
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- source_sentence: Under what conditions are returning overseas military personnel
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considered to have continuous prior auto liability insurance?
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sentences:
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or k4 coverages. if a k1, k2 or k4 loss occurs over 50 miles from insured''s home,
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k3 will pay up to$200 in extra expenses to return to the repaired vehicle to its
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home or destination. * k4 - policy must have comprehensive and collision coverage.
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k4 coverage pays $25 per day up to a maximum of $500 for extra expenses resulting
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from a collision or comprehensive loss. in the case of a total theft, this coverage
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will pay $10 per day up to $500 in excess of the $15 per day provided on a standard
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policy.'
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- 'note 1: if the prior carrier or agent was involved in a merger or acquisition
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or changed its name, the number of years insured with the carrier or agent is
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the combined years of continuous automobile liability insurance with any carrier
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or agent involved in such merger, acquisition or name change. note 2: military
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personnel returning from deployment overseas who had no need for liability insurance
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coverage while deployed will be defined to have had continuous prior insurance
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if: 1. they had liability insurance coverage prior to deployment, and 2. the prior
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coverage was either still in-force or expired within 30 days of the date of deployment,
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and 3. they have applied for insurance within 30 days of their return to the united
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states. in these cases, the number of years insured with the prior carrier or
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agent will be the sum of the number of years with the prior carrier as defined
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above prior to deployment and the length of time deployed overseas. b. prior and
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current bodily injury limit the bodily injury (or per-accident combined single
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limits liability) limit from the prior carrier is the greater of liability limits
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immediately preceding the inception of the encompass indemnity company policy
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of either of the first two named insureds (if applicable) for bodily injury to
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or death of a person as a result of any one accident.'
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- source_sentence: What is the policy writing minimum premium for the company’s general
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liability coverage according to Rule 8?
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sentences:
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be applied based on the applicable partner discount. the partner discount is applied
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when the policy is placed with clearcover insurance company through a qualifying
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partner. a "qualifying partner" is an organization with which clearcover insurance
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company has an agreement to market clearcover products to the partner's constituent
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base or refer the partner's constituents to clearcover for insurance products.
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qualifying partners are assigned to a group and receive a discount commensurate
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with the expected expense savings associated with the terms of the partnership
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agreement. differential amounts and applicable coverages can be found in the rating
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sectio n of this manual.
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- source_sentence: How are dune buggies rated if they are limited to off-road use?
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sentences:
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sentences:
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or more shall be rounded to the next higher whole dollar. in the event of cancellation
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by privilege, the return premium will be carried to the next higher whole dollar.'
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- g. an auto used in the business of the u.s. government by one of its employees
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may be classified and rated as pleasure or work less than 3 miles, work 3 or more
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but less than 10 miles, work 10 or more but less than 20 miles or work 20 or more
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miles when the federal employees using autos in government business endorsement
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is used to limit coverage.
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pipeline_tag: sentence-similarity
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library_name: sentence-transformers
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metrics:
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- cosine_mrr@10
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- cosine_map@100
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model-index:
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- name: BGE
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results:
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- task:
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type: information-retrieval
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name: Information Retrieval
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dataset:
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name: dim
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type:
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metrics:
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- type: cosine_accuracy@1
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value: 0.
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name: Cosine Accuracy@1
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- type: cosine_accuracy@3
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-
value: 0.
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name: Cosine Accuracy@3
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- type: cosine_accuracy@5
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-
value: 0.
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name: Cosine Accuracy@5
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- type: cosine_accuracy@10
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-
value: 0.
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name: Cosine Accuracy@10
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- type: cosine_precision@1
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-
value: 0.
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name: Cosine Precision@1
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- type: cosine_precision@3
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value: 0.
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name: Cosine Precision@3
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- type: cosine_precision@5
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-
value: 0.
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name: Cosine Precision@5
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- type: cosine_precision@10
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-
value: 0.
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name: Cosine Precision@10
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- type: cosine_recall@1
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value: 0.
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name: Cosine Recall@1
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- type: cosine_recall@3
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value: 0.
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name: Cosine Recall@3
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- type: cosine_recall@5
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value: 0.
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name: Cosine Recall@5
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- type: cosine_recall@10
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-
value: 0.
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name: Cosine Recall@10
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- type: cosine_ndcg@10
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-
value: 0.
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name: Cosine Ndcg@10
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- type: cosine_mrr@10
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-
value: 0.
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name: Cosine Mrr@10
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- type: cosine_map@100
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-
value: 0.
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name: Cosine Map@100
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- task:
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type: information-retrieval
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type: dim_512
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metrics:
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- type: cosine_accuracy@1
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-
value: 0.
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name: Cosine Accuracy@1
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- type: cosine_accuracy@3
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-
value: 0.
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name: Cosine Accuracy@3
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- type: cosine_accuracy@5
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-
value: 0.
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name: Cosine Accuracy@5
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- type: cosine_accuracy@10
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-
value: 0.
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name: Cosine Accuracy@10
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- type: cosine_precision@1
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-
value: 0.
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name: Cosine Precision@1
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- type: cosine_precision@3
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-
value: 0.
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name: Cosine Precision@3
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- type: cosine_precision@5
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value: 0.
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name: Cosine Precision@5
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- type: cosine_precision@10
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value: 0.
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name: Cosine Precision@10
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- type: cosine_recall@1
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-
value: 0.
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| 414 |
name: Cosine Recall@1
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- type: cosine_recall@3
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-
value: 0.
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name: Cosine Recall@3
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- type: cosine_recall@5
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-
value: 0.
|
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name: Cosine Recall@5
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- type: cosine_recall@10
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value: 0.
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name: Cosine Recall@10
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- type: cosine_ndcg@10
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-
value: 0.
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name: Cosine Ndcg@10
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- type: cosine_mrr@10
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-
value: 0.
|
| 429 |
name: Cosine Mrr@10
|
| 430 |
- type: cosine_map@100
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| 431 |
-
value: 0.
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name: Cosine Map@100
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| 433 |
- task:
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type: information-retrieval
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type: dim_256
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metrics:
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- type: cosine_accuracy@1
|
| 441 |
-
value: 0.
|
| 442 |
-
name: Cosine Accuracy@1
|
| 443 |
-
- type: cosine_accuracy@3
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| 444 |
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value: 0.5686274509803921
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-
name: Cosine Accuracy@3
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| 446 |
-
- type: cosine_accuracy@5
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-
value: 0.6470588235294118
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-
name: Cosine Accuracy@5
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-
- type: cosine_accuracy@10
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-
value: 0.7450980392156863
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-
name: Cosine Accuracy@10
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-
- type: cosine_precision@1
|
| 453 |
-
value: 0.3627450980392157
|
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-
name: Cosine Precision@1
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-
- type: cosine_precision@3
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-
value: 0.18954248366013068
|
| 457 |
-
name: Cosine Precision@3
|
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-
- type: cosine_precision@5
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| 459 |
-
value: 0.1294117647058823
|
| 460 |
-
name: Cosine Precision@5
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| 461 |
-
- type: cosine_precision@10
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| 462 |
-
value: 0.0745098039215686
|
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-
name: Cosine Precision@10
|
| 464 |
-
- type: cosine_recall@1
|
| 465 |
-
value: 0.3627450980392157
|
| 466 |
-
name: Cosine Recall@1
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| 467 |
-
- type: cosine_recall@3
|
| 468 |
-
value: 0.5686274509803921
|
| 469 |
-
name: Cosine Recall@3
|
| 470 |
-
- type: cosine_recall@5
|
| 471 |
-
value: 0.6470588235294118
|
| 472 |
-
name: Cosine Recall@5
|
| 473 |
-
- type: cosine_recall@10
|
| 474 |
-
value: 0.7450980392156863
|
| 475 |
-
name: Cosine Recall@10
|
| 476 |
-
- type: cosine_ndcg@10
|
| 477 |
-
value: 0.5476803470577808
|
| 478 |
-
name: Cosine Ndcg@10
|
| 479 |
-
- type: cosine_mrr@10
|
| 480 |
-
value: 0.48509959539371317
|
| 481 |
-
name: Cosine Mrr@10
|
| 482 |
-
- type: cosine_map@100
|
| 483 |
-
value: 0.49249841303900943
|
| 484 |
-
name: Cosine Map@100
|
| 485 |
-
- task:
|
| 486 |
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type: information-retrieval
|
| 487 |
-
name: Information Retrieval
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-
dataset:
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name: dim 128
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| 490 |
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type: dim_128
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metrics:
|
| 492 |
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- type: cosine_accuracy@1
|
| 493 |
-
value: 0.3431372549019608
|
| 494 |
-
name: Cosine Accuracy@1
|
| 495 |
-
- type: cosine_accuracy@3
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| 496 |
-
value: 0.5
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| 497 |
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name: Cosine Accuracy@3
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-
- type: cosine_accuracy@5
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| 499 |
-
value: 0.5784313725490197
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| 500 |
-
name: Cosine Accuracy@5
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| 501 |
-
- type: cosine_accuracy@10
|
| 502 |
-
value: 0.6666666666666666
|
| 503 |
-
name: Cosine Accuracy@10
|
| 504 |
-
- type: cosine_precision@1
|
| 505 |
-
value: 0.3431372549019608
|
| 506 |
-
name: Cosine Precision@1
|
| 507 |
-
- type: cosine_precision@3
|
| 508 |
-
value: 0.16666666666666663
|
| 509 |
-
name: Cosine Precision@3
|
| 510 |
-
- type: cosine_precision@5
|
| 511 |
-
value: 0.1156862745098039
|
| 512 |
-
name: Cosine Precision@5
|
| 513 |
-
- type: cosine_precision@10
|
| 514 |
-
value: 0.06666666666666665
|
| 515 |
-
name: Cosine Precision@10
|
| 516 |
-
- type: cosine_recall@1
|
| 517 |
-
value: 0.3431372549019608
|
| 518 |
-
name: Cosine Recall@1
|
| 519 |
-
- type: cosine_recall@3
|
| 520 |
-
value: 0.5
|
| 521 |
-
name: Cosine Recall@3
|
| 522 |
-
- type: cosine_recall@5
|
| 523 |
-
value: 0.5784313725490197
|
| 524 |
-
name: Cosine Recall@5
|
| 525 |
-
- type: cosine_recall@10
|
| 526 |
-
value: 0.6666666666666666
|
| 527 |
-
name: Cosine Recall@10
|
| 528 |
-
- type: cosine_ndcg@10
|
| 529 |
-
value: 0.49784987226329325
|
| 530 |
-
name: Cosine Ndcg@10
|
| 531 |
-
- type: cosine_mrr@10
|
| 532 |
-
value: 0.44495409274821046
|
| 533 |
-
name: Cosine Mrr@10
|
| 534 |
-
- type: cosine_map@100
|
| 535 |
-
value: 0.4561114762011018
|
| 536 |
-
name: Cosine Map@100
|
| 537 |
-
- task:
|
| 538 |
-
type: information-retrieval
|
| 539 |
-
name: Information Retrieval
|
| 540 |
-
dataset:
|
| 541 |
-
name: dim 64
|
| 542 |
-
type: dim_64
|
| 543 |
-
metrics:
|
| 544 |
-
- type: cosine_accuracy@1
|
| 545 |
-
value: 0.19607843137254902
|
| 546 |
name: Cosine Accuracy@1
|
| 547 |
- type: cosine_accuracy@3
|
| 548 |
-
value: 0.
|
| 549 |
name: Cosine Accuracy@3
|
| 550 |
- type: cosine_accuracy@5
|
| 551 |
-
value: 0.
|
| 552 |
name: Cosine Accuracy@5
|
| 553 |
- type: cosine_accuracy@10
|
| 554 |
-
value: 0.
|
| 555 |
name: Cosine Accuracy@10
|
| 556 |
- type: cosine_precision@1
|
| 557 |
-
value: 0.
|
| 558 |
name: Cosine Precision@1
|
| 559 |
- type: cosine_precision@3
|
| 560 |
-
value: 0.
|
| 561 |
name: Cosine Precision@3
|
| 562 |
- type: cosine_precision@5
|
| 563 |
-
value: 0.
|
| 564 |
name: Cosine Precision@5
|
| 565 |
- type: cosine_precision@10
|
| 566 |
-
value: 0.
|
| 567 |
name: Cosine Precision@10
|
| 568 |
- type: cosine_recall@1
|
| 569 |
-
value: 0.
|
| 570 |
name: Cosine Recall@1
|
| 571 |
- type: cosine_recall@3
|
| 572 |
-
value: 0.
|
| 573 |
name: Cosine Recall@3
|
| 574 |
- type: cosine_recall@5
|
| 575 |
-
value: 0.
|
| 576 |
name: Cosine Recall@5
|
| 577 |
- type: cosine_recall@10
|
| 578 |
-
value: 0.
|
| 579 |
name: Cosine Recall@10
|
| 580 |
- type: cosine_ndcg@10
|
| 581 |
-
value: 0.
|
| 582 |
name: Cosine Ndcg@10
|
| 583 |
- type: cosine_mrr@10
|
| 584 |
-
value: 0.
|
| 585 |
name: Cosine Mrr@10
|
| 586 |
- type: cosine_map@100
|
| 587 |
-
value: 0.
|
| 588 |
name: Cosine Map@100
|
| 589 |
---
|
| 590 |
|
| 591 |
-
# BGE
|
| 592 |
|
| 593 |
-
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-
|
| 594 |
|
| 595 |
## Model Details
|
| 596 |
|
| 597 |
### Model Description
|
| 598 |
- **Model Type:** Sentence Transformer
|
| 599 |
-
- **Base model:** [BAAI/bge-
|
| 600 |
- **Maximum Sequence Length:** 512 tokens
|
| 601 |
-
- **Output Dimensionality:**
|
| 602 |
- **Similarity Function:** Cosine Similarity
|
| 603 |
<!-- - **Training Dataset:** Unknown -->
|
| 604 |
- **Language:** en
|
|
@@ -615,7 +456,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [B
|
|
| 615 |
```
|
| 616 |
SentenceTransformer(
|
| 617 |
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
|
| 618 |
-
(1): Pooling({'word_embedding_dimension':
|
| 619 |
(2): Normalize()
|
| 620 |
)
|
| 621 |
```
|
|
@@ -638,13 +479,13 @@ from sentence_transformers import SentenceTransformer
|
|
| 638 |
model = SentenceTransformer("bnkc123/obscura-v1")
|
| 639 |
# Run inference
|
| 640 |
sentences = [
|
| 641 |
-
'Which
|
| 642 |
-
"
|
| 643 |
-
|
| 644 |
]
|
| 645 |
embeddings = model.encode(sentences)
|
| 646 |
print(embeddings.shape)
|
| 647 |
-
# [3,
|
| 648 |
|
| 649 |
# Get the similarity scores for the embeddings
|
| 650 |
similarities = model.similarity(embeddings, embeddings)
|
|
@@ -682,31 +523,31 @@ You can finetune this model on your own dataset.
|
|
| 682 |
|
| 683 |
#### Information Retrieval
|
| 684 |
|
| 685 |
-
* Dataset: `
|
| 686 |
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
|
| 687 |
```json
|
| 688 |
{
|
| 689 |
-
"truncate_dim":
|
| 690 |
}
|
| 691 |
```
|
| 692 |
|
| 693 |
| Metric | Value |
|
| 694 |
|:--------------------|:-----------|
|
| 695 |
-
| cosine_accuracy@1 | 0.
|
| 696 |
-
| cosine_accuracy@3 | 0.
|
| 697 |
-
| cosine_accuracy@5 | 0.
|
| 698 |
-
| cosine_accuracy@10 | 0.
|
| 699 |
-
| cosine_precision@1 | 0.
|
| 700 |
-
| cosine_precision@3 | 0.
|
| 701 |
-
| cosine_precision@5 | 0.
|
| 702 |
-
| cosine_precision@10 | 0.
|
| 703 |
-
| cosine_recall@1 | 0.
|
| 704 |
-
| cosine_recall@3 | 0.
|
| 705 |
-
| cosine_recall@5 | 0.
|
| 706 |
-
| cosine_recall@10 | 0.
|
| 707 |
-
| **cosine_ndcg@10** | **0.
|
| 708 |
-
| cosine_mrr@10 | 0.
|
| 709 |
-
| cosine_map@100 | 0.
|
| 710 |
|
| 711 |
#### Information Retrieval
|
| 712 |
|
|
@@ -720,21 +561,21 @@ You can finetune this model on your own dataset.
|
|
| 720 |
|
| 721 |
| Metric | Value |
|
| 722 |
|:--------------------|:-----------|
|
| 723 |
-
| cosine_accuracy@1 | 0.
|
| 724 |
-
| cosine_accuracy@3 | 0.
|
| 725 |
-
| cosine_accuracy@5 | 0.
|
| 726 |
-
| cosine_accuracy@10 | 0.
|
| 727 |
-
| cosine_precision@1 | 0.
|
| 728 |
-
| cosine_precision@3 | 0.
|
| 729 |
-
| cosine_precision@5 | 0.
|
| 730 |
-
| cosine_precision@10 | 0.
|
| 731 |
-
| cosine_recall@1 | 0.
|
| 732 |
-
| cosine_recall@3 | 0.
|
| 733 |
-
| cosine_recall@5 | 0.
|
| 734 |
-
| cosine_recall@10 | 0.
|
| 735 |
-
| **cosine_ndcg@10** | **0.
|
| 736 |
-
| cosine_mrr@10 | 0.
|
| 737 |
-
| cosine_map@100 | 0.
|
| 738 |
|
| 739 |
#### Information Retrieval
|
| 740 |
|
|
@@ -748,77 +589,21 @@ You can finetune this model on your own dataset.
|
|
| 748 |
|
| 749 |
| Metric | Value |
|
| 750 |
|:--------------------|:-----------|
|
| 751 |
-
| cosine_accuracy@1 | 0.
|
| 752 |
-
| cosine_accuracy@3 | 0.
|
| 753 |
-
| cosine_accuracy@5 | 0.
|
| 754 |
-
| cosine_accuracy@10 | 0.
|
| 755 |
-
| cosine_precision@1 | 0.
|
| 756 |
-
| cosine_precision@3 | 0.
|
| 757 |
-
| cosine_precision@5 | 0.
|
| 758 |
-
| cosine_precision@10 | 0.
|
| 759 |
-
| cosine_recall@1 | 0.
|
| 760 |
-
| cosine_recall@3 | 0.
|
| 761 |
-
| cosine_recall@5 | 0.
|
| 762 |
-
| cosine_recall@10 | 0.
|
| 763 |
-
| **cosine_ndcg@10** | **0.
|
| 764 |
-
| cosine_mrr@10 | 0.
|
| 765 |
-
| cosine_map@100 | 0.
|
| 766 |
-
|
| 767 |
-
#### Information Retrieval
|
| 768 |
-
|
| 769 |
-
* Dataset: `dim_128`
|
| 770 |
-
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
|
| 771 |
-
```json
|
| 772 |
-
{
|
| 773 |
-
"truncate_dim": 128
|
| 774 |
-
}
|
| 775 |
-
```
|
| 776 |
-
|
| 777 |
-
| Metric | Value |
|
| 778 |
-
|:--------------------|:-----------|
|
| 779 |
-
| cosine_accuracy@1 | 0.3431 |
|
| 780 |
-
| cosine_accuracy@3 | 0.5 |
|
| 781 |
-
| cosine_accuracy@5 | 0.5784 |
|
| 782 |
-
| cosine_accuracy@10 | 0.6667 |
|
| 783 |
-
| cosine_precision@1 | 0.3431 |
|
| 784 |
-
| cosine_precision@3 | 0.1667 |
|
| 785 |
-
| cosine_precision@5 | 0.1157 |
|
| 786 |
-
| cosine_precision@10 | 0.0667 |
|
| 787 |
-
| cosine_recall@1 | 0.3431 |
|
| 788 |
-
| cosine_recall@3 | 0.5 |
|
| 789 |
-
| cosine_recall@5 | 0.5784 |
|
| 790 |
-
| cosine_recall@10 | 0.6667 |
|
| 791 |
-
| **cosine_ndcg@10** | **0.4978** |
|
| 792 |
-
| cosine_mrr@10 | 0.445 |
|
| 793 |
-
| cosine_map@100 | 0.4561 |
|
| 794 |
-
|
| 795 |
-
#### Information Retrieval
|
| 796 |
-
|
| 797 |
-
* Dataset: `dim_64`
|
| 798 |
-
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
|
| 799 |
-
```json
|
| 800 |
-
{
|
| 801 |
-
"truncate_dim": 64
|
| 802 |
-
}
|
| 803 |
-
```
|
| 804 |
-
|
| 805 |
-
| Metric | Value |
|
| 806 |
-
|:--------------------|:-----------|
|
| 807 |
-
| cosine_accuracy@1 | 0.1961 |
|
| 808 |
-
| cosine_accuracy@3 | 0.3431 |
|
| 809 |
-
| cosine_accuracy@5 | 0.4216 |
|
| 810 |
-
| cosine_accuracy@10 | 0.5686 |
|
| 811 |
-
| cosine_precision@1 | 0.1961 |
|
| 812 |
-
| cosine_precision@3 | 0.1144 |
|
| 813 |
-
| cosine_precision@5 | 0.0843 |
|
| 814 |
-
| cosine_precision@10 | 0.0569 |
|
| 815 |
-
| cosine_recall@1 | 0.1961 |
|
| 816 |
-
| cosine_recall@3 | 0.3431 |
|
| 817 |
-
| cosine_recall@5 | 0.4216 |
|
| 818 |
-
| cosine_recall@10 | 0.5686 |
|
| 819 |
-
| **cosine_ndcg@10** | **0.3636** |
|
| 820 |
-
| cosine_mrr@10 | 0.3003 |
|
| 821 |
-
| cosine_map@100 | 0.3132 |
|
| 822 |
|
| 823 |
<!--
|
| 824 |
## Bias, Risks and Limitations
|
|
@@ -839,32 +624,28 @@ You can finetune this model on your own dataset.
|
|
| 839 |
#### Unnamed Dataset
|
| 840 |
|
| 841 |
* Size: 909 training samples
|
| 842 |
-
* Columns: <code>anchor</code> and <code>
|
| 843 |
* Approximate statistics based on the first 909 samples:
|
| 844 |
-
| | anchor | positive |
|
| 845 |
-
|
| 846 |
-
| type | string | string |
|
| 847 |
-
| details | <ul><li>min: 11 tokens</li><li>mean: 25.
|
| 848 |
* Samples:
|
| 849 |
-
| anchor
|
| 850 |
-
|
| 851 |
-
| <code>
|
| 852 |
-
| <code>Which
|
| 853 |
-
| <code>
|
| 854 |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
|
| 855 |
```json
|
| 856 |
{
|
| 857 |
-
"loss": "
|
| 858 |
"matryoshka_dims": [
|
| 859 |
-
|
| 860 |
512,
|
| 861 |
-
256
|
| 862 |
-
128,
|
| 863 |
-
64
|
| 864 |
],
|
| 865 |
"matryoshka_weights": [
|
| 866 |
-
1,
|
| 867 |
-
1,
|
| 868 |
1,
|
| 869 |
1,
|
| 870 |
1
|
|
@@ -877,11 +658,10 @@ You can finetune this model on your own dataset.
|
|
| 877 |
#### Non-Default Hyperparameters
|
| 878 |
|
| 879 |
- `eval_strategy`: epoch
|
| 880 |
-
- `per_device_train_batch_size`:
|
| 881 |
- `per_device_eval_batch_size`: 16
|
| 882 |
- `gradient_accumulation_steps`: 16
|
| 883 |
-
- `
|
| 884 |
-
- `num_train_epochs`: 4
|
| 885 |
- `lr_scheduler_type`: cosine
|
| 886 |
- `warmup_ratio`: 0.1
|
| 887 |
- `bf16`: True
|
|
@@ -899,20 +679,20 @@ You can finetune this model on your own dataset.
|
|
| 899 |
- `do_predict`: False
|
| 900 |
- `eval_strategy`: epoch
|
| 901 |
- `prediction_loss_only`: True
|
| 902 |
-
- `per_device_train_batch_size`:
|
| 903 |
- `per_device_eval_batch_size`: 16
|
| 904 |
- `per_gpu_train_batch_size`: None
|
| 905 |
- `per_gpu_eval_batch_size`: None
|
| 906 |
- `gradient_accumulation_steps`: 16
|
| 907 |
- `eval_accumulation_steps`: None
|
| 908 |
- `torch_empty_cache_steps`: None
|
| 909 |
-
- `learning_rate`:
|
| 910 |
- `weight_decay`: 0.0
|
| 911 |
- `adam_beta1`: 0.9
|
| 912 |
- `adam_beta2`: 0.999
|
| 913 |
- `adam_epsilon`: 1e-08
|
| 914 |
- `max_grad_norm`: 1.0
|
| 915 |
-
- `num_train_epochs`:
|
| 916 |
- `max_steps`: -1
|
| 917 |
- `lr_scheduler_type`: cosine
|
| 918 |
- `lr_scheduler_kwargs`: {}
|
|
@@ -1013,10 +793,16 @@ You can finetune this model on your own dataset.
|
|
| 1013 |
</details>
|
| 1014 |
|
| 1015 |
### Training Logs
|
| 1016 |
-
| Epoch | Step
|
| 1017 |
-
|
| 1018 |
-
| 1.0
|
| 1019 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1020 |
|
| 1021 |
* The bold row denotes the saved checkpoint.
|
| 1022 |
|
|
@@ -1058,15 +844,15 @@ You can finetune this model on your own dataset.
|
|
| 1058 |
}
|
| 1059 |
```
|
| 1060 |
|
| 1061 |
-
####
|
| 1062 |
```bibtex
|
| 1063 |
-
@misc{
|
| 1064 |
-
title={
|
| 1065 |
-
author={
|
| 1066 |
year={2017},
|
| 1067 |
-
eprint={
|
| 1068 |
archivePrefix={arXiv},
|
| 1069 |
-
primaryClass={cs.
|
| 1070 |
}
|
| 1071 |
```
|
| 1072 |
|
|
|
|
| 9 |
- generated_from_trainer
|
| 10 |
- dataset_size:909
|
| 11 |
- loss:MatryoshkaLoss
|
| 12 |
+
- loss:TripletLoss
|
| 13 |
+
base_model: BAAI/bge-large-en-v1.5
|
| 14 |
widget:
|
| 15 |
+
- source_sentence: What does Safeco define as 'permanently attached living quarters'
|
| 16 |
+
for a motor home?
|
| 17 |
sentences:
|
| 18 |
+
- 'south dakota * rv program rules back to table of contents safeco insurance company
|
| 19 |
+
of america 7 program rules this section details the types of vehicles permitted
|
| 20 |
+
in the rv program and the rules for writing these vehicles. rv includes motor
|
| 21 |
+
homes, travel trailers, sport travel trailers (includes horse trailers with living/sleeping
|
| 22 |
+
quarters), fifth wheel trailers, folding camping trailers, truck mounted campers,
|
| 23 |
+
and utility and horse trailers. rvs insured with safeco are intended for personal/
|
| 24 |
+
recreational use for up to 250 days per year. business and commercial activities
|
| 25 |
+
are not permitted. motor homes we consider "motor homes" to be self-propelled
|
| 26 |
+
mobile homes (including pickups or vans with permanently attached living quarters
|
| 27 |
+
and used for recreational purposes) and provide temporary living quarters. "permanently
|
| 28 |
+
attached living quarters" means: cooking, refrigerator, bathroom with plumbing,
|
| 29 |
+
self contained heating and/or cooling, 110-125 electric supply and drinkable water
|
| 30 |
+
supply. motor homes are not eligible for, and do not make other vehicles eligible
|
| 31 |
+
for, account discount, distant student discount or good student discount. motor
|
| 32 |
+
homes that carry liability coverage are not eligible for, but do extend, the multi-car
|
| 33 |
+
discount to a private passenger auto. damage to your covered vehicle comprehensive
|
| 34 |
+
and collision coverages are rated on the basis of actual cash value/current market
|
| 35 |
+
value. travel trailers and camping trailers we consider "trailers" to be non-motorized
|
| 36 |
+
vehicles that are intended to be towed and used for recreational purposes and
|
| 37 |
+
are equipped with a living quarters, with the exception of horse and utility trailers.
|
| 38 |
+
only physical damage coverage (comprehensive, collision or both) is available
|
| 39 |
+
for trailers.'
|
| 40 |
+
- 'south dakota * rv rv types back to table of contents safeco insurance company
|
| 41 |
+
of america 6 rv types permitted rv types the recreational vehicle types shown
|
| 42 |
+
below are a general representation of the vehicles written in safeco''s rv program.
|
| 43 |
+
in addition to the vehicles shown below, utility trailers and horse trailers are
|
| 44 |
+
also permitted in the rv program. see the program rules for vehicle type requirements.
|
| 45 |
+
. class a - motor home class b - motor home class c - motor home truck mounted
|
| 46 |
+
camper conventional trailer sport travel trailer fifth-wheel trailer folding camping
|
| 47 |
+
trailer source: recreational vehicle industry association (rvia), 01/06'
|
| 48 |
+
- the surcharge will depend on the conviction or reason for filing. if a risk appears
|
| 49 |
+
acceptable, submit on an unbound basis. include a copy of the official notice
|
| 50 |
+
requesting a certificate. surcharges will be calculated by the home office. application
|
| 51 |
+
of surcharge risks for whom we agree to issue a filing of financial responsibility
|
| 52 |
+
will be surcharged under this rule as well as under the ddp, if applicable. the
|
| 53 |
+
erie must certify that the driver is covered under every circumstance. there are
|
| 54 |
+
some nonowned situations excluded by personal auto policy language. in these cases,
|
| 55 |
+
the exclusions must be removed by endorsement and proper premiums applied. apply
|
| 56 |
+
surcharges as shown below to the auto principally driven by the person for whom
|
| 57 |
+
this filing is issued. in the case of named non- owner coverage, apply the surcharge
|
| 58 |
+
to the premium obtained from rule 21, named non- owner coverage, in these rules
|
| 59 |
+
pages. surcharge table apply only during the period of time that the certificate
|
| 60 |
+
is required. certified risk surcharge table conviction surcharge driving while
|
| 61 |
+
under the influence of drugs or alcohol. 50% failing to stop and report when involved
|
| 62 |
+
in an accident. 50% assault or a felony involving a motor vehicle. 50% speeding
|
| 63 |
+
that resulted in bi, pd or csl. 25% reckless driving that resulted in bi, pd or
|
| 64 |
+
csl. 25% all other cases requiring financial responsibility filings. 5% private
|
| 65 |
+
passenger auto va rules erie insurance exchange erie insurance company 5 effective
|
| 66 |
+
12/1/19
|
| 67 |
+
- source_sentence: Which broad form endorsement in Alabama extends coverage to employees
|
| 68 |
+
who are not subject to the workers compensation law?
|
|
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|
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|
|
| 69 |
sentences:
|
| 70 |
+
- workers' compensation and employers' liability alabama effective september 1,
|
| 71 |
+
2012 table of contents section title page number broad form coverage.........................................................1
|
| 72 |
+
association, franchise or safety group schedule rating...........4 managed care
|
| 73 |
+
premium credit rating plan............................5 large deductible program...................................................11
|
| 74 |
+
schedule rating plan.........................................................16
|
| 75 |
+
large risk alternative rating option.....................................18 waiver
|
| 76 |
+
of our right to recover from others............................19 negotiated rating
|
| 77 |
+
option plan.............................................20 total account billing
|
| 78 |
+
system (tabs)....................................21 participating dividend plans...............................................32
|
| 79 |
+
guaranteed cost large risk alternative rating option............59
|
| 80 |
+
- 'i. personal effects coverage 1. coverage for personal effects is provided for
|
| 81 |
+
recreational vehicles at basic limits with no additional charge when comprehensive
|
| 82 |
+
and collision coverages are provided. refer to the policy provisions for the full
|
| 83 |
+
extent of coverage and any limitations. 2. coverage is not provided and is not
|
| 84 |
+
available when comprehensive and collision coverages are not provided. -------------------------------------------------------------------------------------
|
| 85 |
+
print date: 12/10/98 3 rule section 15 -------------------------------------------------------------------------------------'
|
| 86 |
+
- 'workers'' compensation and employers'' liability rule manual alabama effective
|
| 87 |
+
april 15, 1997 page 1 broad form coverage a. forms wc 99 03 00 and wc 99 03 01
|
| 88 |
+
are optional endorsements developed for use with the workers compensation and
|
| 89 |
+
employers liability policy. only one of these forms may be attached to a policy.
|
| 90 |
+
the workers compensation broad form endorsement wc 99 03 00 changes the policy
|
| 91 |
+
as follows: 1. we will also pay as part of any claim, proceeding or suit we defend
|
| 92 |
+
we will pay for reasonable expenses incurred at our request, including loss of
|
| 93 |
+
earnings. loss of earnings is not covered by the standard workers compensation
|
| 94 |
+
policy. 2. other states insurance the standard policy states that if a risk has
|
| 95 |
+
work on the effective date of the policy in any state not listed in item 3.a.
|
| 96 |
+
of the information page coverage will not be afforded unless we are notified within
|
| 97 |
+
30 days. the reporting requirement is extended to 60 days. 3. transfer of your
|
| 98 |
+
rights and duties if an insured dies and we receive notice within 30 days after
|
| 99 |
+
death, we will cover the legal representative as insured. the reporting requirement
|
| 100 |
+
is extended to 60 days. 4. cancellation the standard policy requires 10 days advance
|
| 101 |
+
notice of cancellation unless the law requires otherwise. the notice requirement
|
| 102 |
+
is extended to 15 days. 5. liberalization if a change is adopted in the form that
|
| 103 |
+
would broaden the coverage without extra charge, the broader coverage will apply
|
| 104 |
+
to this policy.'
|
| 105 |
+
- source_sentence: What coverage reimburses the outstanding loan balance beyond the
|
| 106 |
+
actual cash value for a newly financed car?
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 107 |
sentences:
|
| 108 |
+
- 'personal lines auto rule manual safety pays auto program page 13.3 of 3 07/01/16
|
| 109 |
+
ids property casualty insurance company california i. new car replacement coverage
|
| 110 |
+
policies providing physical damage coverage (comprehensive and collision) may
|
| 111 |
+
be endorsed to include coverage for the difference between the actual cash value
|
| 112 |
+
and cost of a new auto of the same make and model. the rates for such coverage
|
| 113 |
+
can be found in the rate manual. additional provisions: 1. coverage is only applicable
|
| 114 |
+
to new automobiles not previously titled by a state. 2. new car replacement coverage
|
| 115 |
+
must be requested by the insured within a 30 day period following the purchase
|
| 116 |
+
of a new automobile. 3. only vehicles that are classified and rated as private
|
| 117 |
+
passenger vehicles and 4 wheel vehicles having a load capacity of 1,500 pounds
|
| 118 |
+
or less are subject to the provision of this rule. 4. only vehicles with 1000
|
| 119 |
+
miles or less at the time of purchase. h. new car expanded protection coverages
|
| 120 |
+
(new car replacement / gap) policies providing physical damage coverage (comprehensive
|
| 121 |
+
and collision) may be endorsed to include coverage for the difference between
|
| 122 |
+
the actual cash value and the outstanding indebtedness on a loan taken out by
|
| 123 |
+
the insured to finance the purchase of a new automobile. the rates for such coverage
|
| 124 |
+
can be found in the rate manual. additional provisions: 1. coverage is only applicable
|
| 125 |
+
to new automobiles not previously titled by a state. 2. new car replacement /
|
| 126 |
+
gap coverage must be requested by the insured within a 30 day period following
|
| 127 |
+
the purchase of a new automobile. 3. only vehicles that are classified and rated
|
| 128 |
+
as private passenger vehicles and 4 wheel vehicles having a load capacity of 1,500
|
| 129 |
+
pounds or less are subject to the provision of this rule. 4. only vehicles with
|
| 130 |
+
1000 miles or less at the time of purchase.'
|
| 131 |
+
- a revised symbol will be assigned if the value of customization with the msrp
|
| 132 |
+
is greater than the msrp range associated with the originally assigned symbol.
|
| 133 |
+
refer to the price/symbol chart located at the end of this manual. for purposes
|
| 134 |
+
of this rule, customization refers to interior or exterior alteration designed
|
| 135 |
+
to personalize or better facilitate use of the vehicle for non-business purposes
|
| 136 |
+
and specifically includes elaborate interior furnishings and exterior paint, glass
|
| 137 |
+
and body modifications. customization, however, does not include equipment commonly
|
| 138 |
+
installed on these vehicles such as heater, air conditioning, tires, customary
|
| 139 |
+
music options, power steering and power brakes, nor modifications designed to
|
| 140 |
+
increase the usefulness of the vehicle for business purposes.
|
| 141 |
+
- michigan manufactured homes manual rules 12-01-04 allstate indemnity company page
|
| 142 |
+
imh2-1 rule 2 - eligibility this manual is applicable to manufactured homes which
|
| 143 |
+
are used exclusively for residential purposes. their appurtenant private structures
|
| 144 |
+
are also covered if they are not used for commercial or farm purposes. coverage
|
| 145 |
+
for the personal effects of the occupants is also provided. trailers used extensively
|
| 146 |
+
for travel purposes are not eligible.
|
| 147 |
+
- source_sentence: Which named perils specifically apply to personal property (Coverage
|
| 148 |
+
C) in a standard renters or homeowners policy issued by Pacific Specialty?
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 149 |
sentences:
|
| 150 |
+
- 'pacific specialty insurance company ct - ho3/4/6 superior - man (ed. 10-23) page
|
| 151 |
+
9 10. losses insured below is a brief description of the losses insured (please
|
| 152 |
+
refer to the policy for a complete description of the coverage): a. section i
|
| 153 |
+
- property coverages damage to insured''s property is covered under the property
|
| 154 |
+
coverages section of the policy. for the following coverages, coverage is provided
|
| 155 |
+
for direct physical loss with certain exclusions: * coverage a - dwelling (not
|
| 156 |
+
applicable to renters) * coverage b - other structures (not applicable to renters
|
| 157 |
+
or unit-owners) * coverage d - loss of use coverage c (personal property) provides
|
| 158 |
+
for direct loss caused by the following named perils, unless excluded and/or excepted
|
| 159 |
+
in the policy: 1. fire or lightning 2. windstorm or hail 3. explosion 4. riot
|
| 160 |
+
or civil commotion 5. aircraft, including self-propelled missiles and spacecraft
|
| 161 |
+
6. vehicles 7. sudden and accidental damage from smoke 8. vandalism or malicious
|
| 162 |
+
mischief 9. theft 10. falling objects 11. weight of ice, snow or sleet 12. accidental
|
| 163 |
+
discharge or overflow of water or steam 13. sudden and accidental tearing apart,
|
| 164 |
+
cracking, burning or bulging of water heater, etc. 14. freezing of plumbing, heating,
|
| 165 |
+
air conditioning or automatic fire protective sprinkler system, etc. 15. sudden
|
| 166 |
+
and accidental damage from artificially generated electrical current 16. volcanic
|
| 167 |
+
eruption b. section ii - liability coverages section ii liability includes coverage
|
| 168 |
+
for bodily injury or property damage caused by an occurrence and defense costs
|
| 169 |
+
associated with a suit brought against an insured for a covered claim.'
|
| 170 |
+
- 'acadia insurance company continental western insurance company firemen''s insurance
|
| 171 |
+
company of washington, d.c. union insurance company division one - commercial
|
| 172 |
+
automobile company exception pages - alabama effective12/1/2024 al - ca - 7 revised
|
| 173 |
+
5/13/2024 includes copyrighted material of iso, inc. with its permission classify
|
| 174 |
+
trucks, tractors and trailers for liability and physical damage coverages as follows:
|
| 175 |
+
a. primary classifications 1. vehicle weight gross vehicle weight rating (gvwr)
|
| 176 |
+
and gross combination weight (gcw) mean: a. gross vehicle weight rating the maximum
|
| 177 |
+
loaded weight for which a single auto is designed, as specified by the manufacturer.
|
| 178 |
+
b. gross combination weight the maximum loaded weight for a combination truck-tractor
|
| 179 |
+
and semitrailer or trailer for which the truck-tractor is designed, as specified
|
| 180 |
+
by the manufacturer. 2. size class if a bus is rated at truck, tractor or trailer
|
| 181 |
+
rates, determine the size class from the seating capacity as follows: seating
|
| 182 |
+
capacity size class 1 - 8 light 9 - 20 medium 21 - 60 heavy over 60 extra-heavy
|
| 183 |
+
table 223.a.2. size class for buses rated as trucks otherwise: a. light trucks
|
| 184 |
+
trucks that have a gross vehicle weight rating (gvwr) of 10,000 pounds or less.
|
| 185 |
+
b. medium trucks trucks that have a gross vehicle weight rating (gvwr) of 10,001
|
| 186 |
+
- 20,000 pounds. c. heavy trucks trucks that have a gross vehicle weight rating
|
| 187 |
+
(gvwr) of 20,001 - 45,000 pounds. d. extra-heavy trucks trucks that have a gross
|
| 188 |
+
vehicle weight rating (gvwr) over 45,000 pounds. e. truck-tractors a truck-tractor
|
| 189 |
+
is a motorized auto with or without body for carrying commodities or materials,
|
| 190 |
+
equipped with a fifth-wheel coupling device for semitrailers.'
|
| 191 |
+
- 'b. renters policy 1. the tenant of any dwelling, apartment, condominium or cooperative
|
| 192 |
+
unit. 2. the titled owner, who is also an occupant, of a dwelling or building
|
| 193 |
+
containing an apartment that is not eligible for another homeowners form. 3. the
|
| 194 |
+
titled owner of a cooperative unit, provided: a. the portion of the premises occupied
|
| 195 |
+
as living quarters is used principally for private residential purposes. b. this
|
| 196 |
+
portion is occupied by only one family and cannot have more than two roomers or
|
| 197 |
+
boarders. c. this portion is designated by an apartment number or other positive
|
| 198 |
+
identification. c. unit-owners policy owner occupied, including seasonal, and
|
| 199 |
+
tenant occupied units, which are part of a community association organized under
|
| 200 |
+
condominium, cooperative, town house or planned development form of ownership
|
| 201 |
+
and where provision has been made for a master policy cov ering the residential
|
| 202 |
+
building(s) real property exposure. the unit must be used principally for private
|
| 203 |
+
residential purposes. note: the term "owner" includes persons purchasing a dwelling,
|
| 204 |
+
such as under a mortgage agreement or contract of sale, and must be listed on
|
| 205 |
+
the deed of property to be named insured.'
|
| 206 |
+
- source_sentence: Which additional coverage table shows a $1,000 limit for identity
|
| 207 |
+
theft on a standard policy but $10,000 for Platinum and GrandProtect?
|
| 208 |
sentences:
|
| 209 |
+
- 'farmers lloyd''s insurance company of texas texas residential property manual
|
| 210 |
+
updated: may, 2020 page 3 section i - additional coverages additional coverages
|
| 211 |
+
ho-2 homeowners, homeowners, market value, mobile homeowners, renters, condominium
|
| 212 |
+
and landlord''s rental platinum and grandprotect products (includes homeowners,
|
| 213 |
+
renters and condominium) loss of use additional living expense or fair rental
|
| 214 |
+
value and loss of rental income increased limits available prohibited use refer
|
| 215 |
+
to rule 2 yes up to 14 days refer to rule 2 yes for platinum up to 45 days debris
|
| 216 |
+
removal 10% 10% reasonable repairs yes yes fire department charges $750 $1000
|
| 217 |
+
emergency removal of property 30 days 30 days emergency living expense $500 $500
|
| 218 |
+
refrigerated contents $1000 $1500 identity theft and credit protection (cov. 9)
|
| 219 |
+
increased limits available $1000 yes $10,000 no data and records $1500 for personal
|
| 220 |
+
none for business $2500 lock replacement yes yes reward coverage $5000 $5000 trees,
|
| 221 |
+
shrubs and plants (coverage 12) increased limits available $500 per item/ 5% aggregate
|
| 222 |
+
yes $500 per item/ 5% aggregate yes loss assessment (coverage 6) increased limits
|
| 223 |
+
available $1000 yes $10,000 yes land $10,000 $10,000 volcanic action yes yes collapse
|
| 224 |
+
yes yes inflation protection yes yes landlord''s furnishings $2500 $2500 fungus
|
| 225 |
+
and mold remediation $5000 $5000 backup of sewer, drain and sump pump (coverage
|
| 226 |
+
13) optional $10,000 increased limits available newly acquired watercraft n/a
|
| 227 |
+
with grandprotect identity fraud n/a with grandprotect ordinance or law (coverage
|
| 228 |
+
15) optional grandprotect - blank property limit platinum - 50% of cov.'
|
| 229 |
+
- a increased limits available section ii - additional coverages additional coverages
|
| 230 |
+
ho-2 homeowners, homeowners, market value, mobile homeowners, renters, condominium
|
| 231 |
+
and landlord's rental platinum and grandprotect products (includes homeowners,
|
| 232 |
+
renters and condominium) damage of property of others $500 $1500 claim expenses
|
| 233 |
+
yes, including $200 for lost wages yes, including $250 for lost wages first aid
|
| 234 |
+
expenses yes yes borrowed or rented watercraft n/a with grandprotect personal
|
| 235 |
+
injury (coverage 25) optional included
|
| 236 |
+
- 'f. physical damage coverage (comprehensive and collision coverages) the policy
|
| 237 |
+
may provide comprehensive on a full coverage basis or on a $50, $100, $200, $250,
|
| 238 |
+
$300, $500, $1,000, $2,000, $2,500 or $5,000 deductible basis and collision on
|
| 239 |
+
a $50, $100, $150, $200, $250, $300, $500, $1,000, $2,000, $2,500 or $5,000 deductible
|
| 240 |
+
basis. towing must be purchased when comprehensive is purchased. collision coverage
|
| 241 |
+
may not be purchased without comprehensive coverage. also included in the physical
|
| 242 |
+
damage coverage are: i. towing and labor costs up to $50 per disablement (refer
|
| 243 |
+
to the towing coverage rule for additional limits); ii. transportation cost to
|
| 244 |
+
intended destination up to $50 per occurrence, iii. loss of clothes and luggage
|
| 245 |
+
up to $300 per occurrence, iv. rental reimbursement not exceeding $25 a day or
|
| 246 |
+
$750 if loss by theft, and v. general average and salvage charges due to transporting
|
| 247 |
+
the automobile. the deductible savings benefit (dsb) accumulates $50 to the policy
|
| 248 |
+
at each anniversary if no claim has been made in the past year. this benefit is
|
| 249 |
+
subject to a maximum of $250. the dsb amount reduces the deductible at the time
|
| 250 |
+
of a collision or comprehensive claim. the deductible on comprehensive may be
|
| 251 |
+
eliminated for safety glass breakage. refer to the rate pages for the applicable
|
| 252 |
+
factors. refer to the rate pages to determine the applicable premium charge.'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 253 |
pipeline_tag: sentence-similarity
|
| 254 |
library_name: sentence-transformers
|
| 255 |
metrics:
|
|
|
|
| 269 |
- cosine_mrr@10
|
| 270 |
- cosine_map@100
|
| 271 |
model-index:
|
| 272 |
+
- name: BGE large Financial Matryoshka
|
| 273 |
results:
|
| 274 |
- task:
|
| 275 |
type: information-retrieval
|
| 276 |
name: Information Retrieval
|
| 277 |
dataset:
|
| 278 |
+
name: dim 1024
|
| 279 |
+
type: dim_1024
|
| 280 |
metrics:
|
| 281 |
- type: cosine_accuracy@1
|
| 282 |
+
value: 0.14705882352941177
|
| 283 |
name: Cosine Accuracy@1
|
| 284 |
- type: cosine_accuracy@3
|
| 285 |
+
value: 0.3333333333333333
|
| 286 |
name: Cosine Accuracy@3
|
| 287 |
- type: cosine_accuracy@5
|
| 288 |
+
value: 0.4117647058823529
|
| 289 |
name: Cosine Accuracy@5
|
| 290 |
- type: cosine_accuracy@10
|
| 291 |
+
value: 0.5294117647058824
|
| 292 |
name: Cosine Accuracy@10
|
| 293 |
- type: cosine_precision@1
|
| 294 |
+
value: 0.14705882352941177
|
| 295 |
name: Cosine Precision@1
|
| 296 |
- type: cosine_precision@3
|
| 297 |
+
value: 0.11111111111111112
|
| 298 |
name: Cosine Precision@3
|
| 299 |
- type: cosine_precision@5
|
| 300 |
+
value: 0.08235294117647057
|
| 301 |
name: Cosine Precision@5
|
| 302 |
- type: cosine_precision@10
|
| 303 |
+
value: 0.05294117647058822
|
| 304 |
name: Cosine Precision@10
|
| 305 |
- type: cosine_recall@1
|
| 306 |
+
value: 0.14705882352941177
|
| 307 |
name: Cosine Recall@1
|
| 308 |
- type: cosine_recall@3
|
| 309 |
+
value: 0.3333333333333333
|
| 310 |
name: Cosine Recall@3
|
| 311 |
- type: cosine_recall@5
|
| 312 |
+
value: 0.4117647058823529
|
| 313 |
name: Cosine Recall@5
|
| 314 |
- type: cosine_recall@10
|
| 315 |
+
value: 0.5294117647058824
|
| 316 |
name: Cosine Recall@10
|
| 317 |
- type: cosine_ndcg@10
|
| 318 |
+
value: 0.32548811551247103
|
| 319 |
name: Cosine Ndcg@10
|
| 320 |
- type: cosine_mrr@10
|
| 321 |
+
value: 0.262037037037037
|
| 322 |
name: Cosine Mrr@10
|
| 323 |
- type: cosine_map@100
|
| 324 |
+
value: 0.26987000260943805
|
| 325 |
name: Cosine Map@100
|
| 326 |
- task:
|
| 327 |
type: information-retrieval
|
|
|
|
| 331 |
type: dim_512
|
| 332 |
metrics:
|
| 333 |
- type: cosine_accuracy@1
|
| 334 |
+
value: 0.14705882352941177
|
| 335 |
name: Cosine Accuracy@1
|
| 336 |
- type: cosine_accuracy@3
|
| 337 |
+
value: 0.30392156862745096
|
| 338 |
name: Cosine Accuracy@3
|
| 339 |
- type: cosine_accuracy@5
|
| 340 |
+
value: 0.4117647058823529
|
| 341 |
name: Cosine Accuracy@5
|
| 342 |
- type: cosine_accuracy@10
|
| 343 |
+
value: 0.5098039215686274
|
| 344 |
name: Cosine Accuracy@10
|
| 345 |
- type: cosine_precision@1
|
| 346 |
+
value: 0.14705882352941177
|
| 347 |
name: Cosine Precision@1
|
| 348 |
- type: cosine_precision@3
|
| 349 |
+
value: 0.10130718954248366
|
| 350 |
name: Cosine Precision@3
|
| 351 |
- type: cosine_precision@5
|
| 352 |
+
value: 0.08235294117647057
|
| 353 |
name: Cosine Precision@5
|
| 354 |
- type: cosine_precision@10
|
| 355 |
+
value: 0.05098039215686273
|
| 356 |
name: Cosine Precision@10
|
| 357 |
- type: cosine_recall@1
|
| 358 |
+
value: 0.14705882352941177
|
| 359 |
name: Cosine Recall@1
|
| 360 |
- type: cosine_recall@3
|
| 361 |
+
value: 0.30392156862745096
|
| 362 |
name: Cosine Recall@3
|
| 363 |
- type: cosine_recall@5
|
| 364 |
+
value: 0.4117647058823529
|
| 365 |
name: Cosine Recall@5
|
| 366 |
- type: cosine_recall@10
|
| 367 |
+
value: 0.5098039215686274
|
| 368 |
name: Cosine Recall@10
|
| 369 |
- type: cosine_ndcg@10
|
| 370 |
+
value: 0.3130720788269893
|
| 371 |
name: Cosine Ndcg@10
|
| 372 |
- type: cosine_mrr@10
|
| 373 |
+
value: 0.2518635231870526
|
| 374 |
name: Cosine Mrr@10
|
| 375 |
- type: cosine_map@100
|
| 376 |
+
value: 0.2606999758024067
|
| 377 |
name: Cosine Map@100
|
| 378 |
- task:
|
| 379 |
type: information-retrieval
|
|
|
|
| 383 |
type: dim_256
|
| 384 |
metrics:
|
| 385 |
- type: cosine_accuracy@1
|
| 386 |
+
value: 0.12745098039215685
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
| 387 |
name: Cosine Accuracy@1
|
| 388 |
- type: cosine_accuracy@3
|
| 389 |
+
value: 0.3235294117647059
|
| 390 |
name: Cosine Accuracy@3
|
| 391 |
- type: cosine_accuracy@5
|
| 392 |
+
value: 0.4117647058823529
|
| 393 |
name: Cosine Accuracy@5
|
| 394 |
- type: cosine_accuracy@10
|
| 395 |
+
value: 0.49019607843137253
|
| 396 |
name: Cosine Accuracy@10
|
| 397 |
- type: cosine_precision@1
|
| 398 |
+
value: 0.12745098039215685
|
| 399 |
name: Cosine Precision@1
|
| 400 |
- type: cosine_precision@3
|
| 401 |
+
value: 0.10784313725490197
|
| 402 |
name: Cosine Precision@3
|
| 403 |
- type: cosine_precision@5
|
| 404 |
+
value: 0.08235294117647057
|
| 405 |
name: Cosine Precision@5
|
| 406 |
- type: cosine_precision@10
|
| 407 |
+
value: 0.04901960784313724
|
| 408 |
name: Cosine Precision@10
|
| 409 |
- type: cosine_recall@1
|
| 410 |
+
value: 0.12745098039215685
|
| 411 |
name: Cosine Recall@1
|
| 412 |
- type: cosine_recall@3
|
| 413 |
+
value: 0.3235294117647059
|
| 414 |
name: Cosine Recall@3
|
| 415 |
- type: cosine_recall@5
|
| 416 |
+
value: 0.4117647058823529
|
| 417 |
name: Cosine Recall@5
|
| 418 |
- type: cosine_recall@10
|
| 419 |
+
value: 0.49019607843137253
|
| 420 |
name: Cosine Recall@10
|
| 421 |
- type: cosine_ndcg@10
|
| 422 |
+
value: 0.3020923874535027
|
| 423 |
name: Cosine Ndcg@10
|
| 424 |
- type: cosine_mrr@10
|
| 425 |
+
value: 0.24276766262060376
|
| 426 |
name: Cosine Mrr@10
|
| 427 |
- type: cosine_map@100
|
| 428 |
+
value: 0.25222170335142596
|
| 429 |
name: Cosine Map@100
|
| 430 |
---
|
| 431 |
|
| 432 |
+
# BGE large Financial Matryoshka
|
| 433 |
|
| 434 |
+
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5). 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.
|
| 435 |
|
| 436 |
## Model Details
|
| 437 |
|
| 438 |
### Model Description
|
| 439 |
- **Model Type:** Sentence Transformer
|
| 440 |
+
- **Base model:** [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) <!-- at revision d4aa6901d3a41ba39fb536a557fa166f842b0e09 -->
|
| 441 |
- **Maximum Sequence Length:** 512 tokens
|
| 442 |
+
- **Output Dimensionality:** 1024 dimensions
|
| 443 |
- **Similarity Function:** Cosine Similarity
|
| 444 |
<!-- - **Training Dataset:** Unknown -->
|
| 445 |
- **Language:** en
|
|
|
|
| 456 |
```
|
| 457 |
SentenceTransformer(
|
| 458 |
(0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) with Transformer model: BertModel
|
| 459 |
+
(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
|
| 460 |
(2): Normalize()
|
| 461 |
)
|
| 462 |
```
|
|
|
|
| 479 |
model = SentenceTransformer("bnkc123/obscura-v1")
|
| 480 |
# Run inference
|
| 481 |
sentences = [
|
| 482 |
+
'Which additional coverage table shows a $1,000 limit for identity theft on a standard policy but $10,000 for Platinum and GrandProtect?',
|
| 483 |
+
"farmers lloyd's insurance company of texas texas residential property manual updated: may, 2020 page 3 section i - additional coverages additional coverages ho-2 homeowners, homeowners, market value, mobile homeowners, renters, condominium and landlord's rental platinum and grandprotect products (includes homeowners, renters and condominium) loss of use additional living expense or fair rental value and loss of rental income increased limits available prohibited use refer to rule 2 yes up to 14 days refer to rule 2 yes for platinum up to 45 days debris removal 10% 10% reasonable repairs yes yes fire department charges $750 $1000 emergency removal of property 30 days 30 days emergency living expense $500 $500 refrigerated contents $1000 $1500 identity theft and credit protection (cov. 9) increased limits available $1000 yes $10,000 no data and records $1500 for personal none for business $2500 lock replacement yes yes reward coverage $5000 $5000 trees, shrubs and plants (coverage 12) increased limits available $500 per item/ 5% aggregate yes $500 per item/ 5% aggregate yes loss assessment (coverage 6) increased limits available $1000 yes $10,000 yes land $10,000 $10,000 volcanic action yes yes collapse yes yes inflation protection yes yes landlord's furnishings $2500 $2500 fungus and mold remediation $5000 $5000 backup of sewer, drain and sump pump (coverage 13) optional $10,000 increased limits available newly acquired watercraft n/a with grandprotect identity fraud n/a with grandprotect ordinance or law (coverage 15) optional grandprotect - blank property limit platinum - 50% of cov.",
|
| 484 |
+
"a increased limits available section ii - additional coverages additional coverages ho-2 homeowners, homeowners, market value, mobile homeowners, renters, condominium and landlord's rental platinum and grandprotect products (includes homeowners, renters and condominium) damage of property of others $500 $1500 claim expenses yes, including $200 for lost wages yes, including $250 for lost wages first aid expenses yes yes borrowed or rented watercraft n/a with grandprotect personal injury (coverage 25) optional included",
|
| 485 |
]
|
| 486 |
embeddings = model.encode(sentences)
|
| 487 |
print(embeddings.shape)
|
| 488 |
+
# [3, 1024]
|
| 489 |
|
| 490 |
# Get the similarity scores for the embeddings
|
| 491 |
similarities = model.similarity(embeddings, embeddings)
|
|
|
|
| 523 |
|
| 524 |
#### Information Retrieval
|
| 525 |
|
| 526 |
+
* Dataset: `dim_1024`
|
| 527 |
* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator) with these parameters:
|
| 528 |
```json
|
| 529 |
{
|
| 530 |
+
"truncate_dim": 1024
|
| 531 |
}
|
| 532 |
```
|
| 533 |
|
| 534 |
| Metric | Value |
|
| 535 |
|:--------------------|:-----------|
|
| 536 |
+
| cosine_accuracy@1 | 0.1471 |
|
| 537 |
+
| cosine_accuracy@3 | 0.3333 |
|
| 538 |
+
| cosine_accuracy@5 | 0.4118 |
|
| 539 |
+
| cosine_accuracy@10 | 0.5294 |
|
| 540 |
+
| cosine_precision@1 | 0.1471 |
|
| 541 |
+
| cosine_precision@3 | 0.1111 |
|
| 542 |
+
| cosine_precision@5 | 0.0824 |
|
| 543 |
+
| cosine_precision@10 | 0.0529 |
|
| 544 |
+
| cosine_recall@1 | 0.1471 |
|
| 545 |
+
| cosine_recall@3 | 0.3333 |
|
| 546 |
+
| cosine_recall@5 | 0.4118 |
|
| 547 |
+
| cosine_recall@10 | 0.5294 |
|
| 548 |
+
| **cosine_ndcg@10** | **0.3255** |
|
| 549 |
+
| cosine_mrr@10 | 0.262 |
|
| 550 |
+
| cosine_map@100 | 0.2699 |
|
| 551 |
|
| 552 |
#### Information Retrieval
|
| 553 |
|
|
|
|
| 561 |
|
| 562 |
| Metric | Value |
|
| 563 |
|:--------------------|:-----------|
|
| 564 |
+
| cosine_accuracy@1 | 0.1471 |
|
| 565 |
+
| cosine_accuracy@3 | 0.3039 |
|
| 566 |
+
| cosine_accuracy@5 | 0.4118 |
|
| 567 |
+
| cosine_accuracy@10 | 0.5098 |
|
| 568 |
+
| cosine_precision@1 | 0.1471 |
|
| 569 |
+
| cosine_precision@3 | 0.1013 |
|
| 570 |
+
| cosine_precision@5 | 0.0824 |
|
| 571 |
+
| cosine_precision@10 | 0.051 |
|
| 572 |
+
| cosine_recall@1 | 0.1471 |
|
| 573 |
+
| cosine_recall@3 | 0.3039 |
|
| 574 |
+
| cosine_recall@5 | 0.4118 |
|
| 575 |
+
| cosine_recall@10 | 0.5098 |
|
| 576 |
+
| **cosine_ndcg@10** | **0.3131** |
|
| 577 |
+
| cosine_mrr@10 | 0.2519 |
|
| 578 |
+
| cosine_map@100 | 0.2607 |
|
| 579 |
|
| 580 |
#### Information Retrieval
|
| 581 |
|
|
|
|
| 589 |
|
| 590 |
| Metric | Value |
|
| 591 |
|:--------------------|:-----------|
|
| 592 |
+
| cosine_accuracy@1 | 0.1275 |
|
| 593 |
+
| cosine_accuracy@3 | 0.3235 |
|
| 594 |
+
| cosine_accuracy@5 | 0.4118 |
|
| 595 |
+
| cosine_accuracy@10 | 0.4902 |
|
| 596 |
+
| cosine_precision@1 | 0.1275 |
|
| 597 |
+
| cosine_precision@3 | 0.1078 |
|
| 598 |
+
| cosine_precision@5 | 0.0824 |
|
| 599 |
+
| cosine_precision@10 | 0.049 |
|
| 600 |
+
| cosine_recall@1 | 0.1275 |
|
| 601 |
+
| cosine_recall@3 | 0.3235 |
|
| 602 |
+
| cosine_recall@5 | 0.4118 |
|
| 603 |
+
| cosine_recall@10 | 0.4902 |
|
| 604 |
+
| **cosine_ndcg@10** | **0.3021** |
|
| 605 |
+
| cosine_mrr@10 | 0.2428 |
|
| 606 |
+
| cosine_map@100 | 0.2522 |
|
|
|
|
|
|
|
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|
|
|
| 607 |
|
| 608 |
<!--
|
| 609 |
## Bias, Risks and Limitations
|
|
|
|
| 624 |
#### Unnamed Dataset
|
| 625 |
|
| 626 |
* Size: 909 training samples
|
| 627 |
+
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
|
| 628 |
* Approximate statistics based on the first 909 samples:
|
| 629 |
+
| | anchor | positive | negative |
|
| 630 |
+
|:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
|
| 631 |
+
| type | string | string | string |
|
| 632 |
+
| details | <ul><li>min: 11 tokens</li><li>mean: 25.39 tokens</li><li>max: 59 tokens</li></ul> | <ul><li>min: 35 tokens</li><li>mean: 307.94 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 13 tokens</li><li>mean: 263.84 tokens</li><li>max: 512 tokens</li></ul> |
|
| 633 |
* Samples:
|
| 634 |
+
| anchor | positive | negative |
|
| 635 |
+
|:-------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 636 |
+
| <code>For a wood shake or shingle roof in good condition, what is the maximum age allowed for Replacement Cost coverage on a DP-3 policy?</code> | <code>roofing systems in fair condition do not qualify for replacement cost coverage. roofing systems in poor condition will have coverage for the roofing system limited to fire and lightning only regardless of age. roofing system age / condition of the roof system excellent condition good condition asphalt / composition 1-22 1-15 slate 1-35 1-28 metal 1-56 1-34 flat/built-up/roll n/a n/a tile 1-35 1-28 wood shake / shingle 1-13 1-8</code> | <code>aegis california secondary residence insurance program 29 dp-man-ca (ed. 8) 16. roofs a. roof age the signed application will specifically disclose the age of the roof. the age of the roof is determined by subtracting the year the roof was installed from the year that the policy takes effect. the roof age will be updated manually at each policy renewal. if the roof age is updated or changed due to roof replacement, a copy of evidence (e.g. - copy of roof manufacturer's warranty indicating replacement date, copy of roof age disclosure statement from real estate transaction, receipt from roofing contractor) showing the date the roof was replaced must be submitted to the company. b. roof system type acceptable roof systems are as follows: 1. asphalt / composition - includes: (a) asphalt - shingle (fiberglass) (b) asphalt - shingle (architectural) (c) asphalt - shingle (architectural - hq) (d) composite - impact resistance shingle (e) composite - shake (f) composite - tile 2. slate - inclu...</code> |
|
| 637 |
+
| <code>Which coverage form is used to insure the personal property of a tenant occupying a single-family dwelling or 1–4 family dwelling?</code> | <code>american commerce insurance company ohio property program rules manual american commerce insurance company page 3 of 39 (04/20) form types ho3: special form- provides "open perils" coverage on the dwelling and other structures and "named perils" coverage on personal property. this policy may be written on an owner- occupied single-family, duplex, triplex, and fourplex dwelling used exclusively for private residential purposes with no more than 1 family per unit. at least one unit of the multi-family dwelling must be occupied by the insured. ho4: contents broad form - provides "named perils" coverage on the personal property of a tenant(s) occupying an apartment, townhouse, condominium, single-family dwelling or one unit in a 1-4 family dwelling used exclusively for private residential purposes with no more than 2 roomers or boarders. ho6: unit owners form - provides "named perils" coverage on building property and personal property for an insured who resides in an owner-occupied single...</code> | <code>american commerce insurance company ohio property program rules manual american commerce insurance company page 4 of 39 (04/20) package policy requirements the following minimum limits apply to each form type. minimum package policy requirements ho3 ho4 ho6 cva base coverage -100% replacement cost n/a 10% of cvc cvb 10% of cva n/a n/a cvc 70% of cva base coverage base coverage cvd 20% of cva 40% of cvc 40% of cvc cvl $100,000 $100,000 $100,000 cvm $1,000 $1,000 $1,000</code> |
|
| 638 |
+
| <code>How does the manual define a seasonal dwelling?</code> | <code>safeport insurance company homeowners program manual - south carolina (2020) general rules includes copyrighted material of insurance services office, inc. with its permission page 9 of 36 f. permitted business occupancies certain business occupancies are permitted, pro- vided: 1. the premises is occupied principally for private residential purposes, and 2. there is no other business occupancy on the premises. when the business is conducted on the residence premises, refer to rules 509. and 510. for section i coverage and rules 607. and 608. for section ii cov- erage. when it is conducted from an other resi- dence, only section ii coverage is available. refer to rules 607. and 608. g. farm property a homeowners policy shall not be issued to cover any property to which farm forms or rates apply under the rules of the company, except as noted in following paragraphs 1. and 2.: 1. section i - property - livestock collision coverage may be provided for loss due to colli- sion which results...</code> | <code>safeport insurance company homeowners program manual - south carolina (2020) general rules includes copyrighted material of insurance services office, inc. with its permission page 10 of 36 3. fire resistive exterior walls and floors and roof constructed of masonry or other fire resistive materials. e. mixed (masonry/frame) a combination of both fr ame and masonry construc- tion shall be classed as frame when the exterior walls of frame construction (including gables) exceed 33 1/3% of the total exterior wall area; otherwise class as masonry. rule 108. seasonal dwelling definition a seasonal dwelling is a dwelling with continuous un-oc- cupancy of three or more consecutive months during any one-year period. rule 109. single and separate buildings definition a. single building all buildings or sections of buildings which are acces- sible through unprotected openings shall be consid- ered as a single building. b. separate building 1. buildings which are separated by space shall be consid...</code> |
|
| 639 |
* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
|
| 640 |
```json
|
| 641 |
{
|
| 642 |
+
"loss": "TripletLoss",
|
| 643 |
"matryoshka_dims": [
|
| 644 |
+
1024,
|
| 645 |
512,
|
| 646 |
+
256
|
|
|
|
|
|
|
| 647 |
],
|
| 648 |
"matryoshka_weights": [
|
|
|
|
|
|
|
| 649 |
1,
|
| 650 |
1,
|
| 651 |
1
|
|
|
|
| 658 |
#### Non-Default Hyperparameters
|
| 659 |
|
| 660 |
- `eval_strategy`: epoch
|
| 661 |
+
- `per_device_train_batch_size`: 6
|
| 662 |
- `per_device_eval_batch_size`: 16
|
| 663 |
- `gradient_accumulation_steps`: 16
|
| 664 |
+
- `num_train_epochs`: 8
|
|
|
|
| 665 |
- `lr_scheduler_type`: cosine
|
| 666 |
- `warmup_ratio`: 0.1
|
| 667 |
- `bf16`: True
|
|
|
|
| 679 |
- `do_predict`: False
|
| 680 |
- `eval_strategy`: epoch
|
| 681 |
- `prediction_loss_only`: True
|
| 682 |
+
- `per_device_train_batch_size`: 6
|
| 683 |
- `per_device_eval_batch_size`: 16
|
| 684 |
- `per_gpu_train_batch_size`: None
|
| 685 |
- `per_gpu_eval_batch_size`: None
|
| 686 |
- `gradient_accumulation_steps`: 16
|
| 687 |
- `eval_accumulation_steps`: None
|
| 688 |
- `torch_empty_cache_steps`: None
|
| 689 |
+
- `learning_rate`: 5e-05
|
| 690 |
- `weight_decay`: 0.0
|
| 691 |
- `adam_beta1`: 0.9
|
| 692 |
- `adam_beta2`: 0.999
|
| 693 |
- `adam_epsilon`: 1e-08
|
| 694 |
- `max_grad_norm`: 1.0
|
| 695 |
+
- `num_train_epochs`: 8
|
| 696 |
- `max_steps`: -1
|
| 697 |
- `lr_scheduler_type`: cosine
|
| 698 |
- `lr_scheduler_kwargs`: {}
|
|
|
|
| 793 |
</details>
|
| 794 |
|
| 795 |
### Training Logs
|
| 796 |
+
| Epoch | Step | Training Loss | dim_1024_cosine_ndcg@10 | dim_512_cosine_ndcg@10 | dim_256_cosine_ndcg@10 |
|
| 797 |
+
|:-------:|:------:|:-------------:|:-----------------------:|:----------------------:|:----------------------:|
|
| 798 |
+
| **1.0** | **10** | **24.8465** | **0.5265** | **0.5079** | **0.5108** |
|
| 799 |
+
| 2.0 | 20 | 16.454 | 0.4701 | 0.4565 | 0.4235 |
|
| 800 |
+
| 3.0 | 30 | 9.4107 | 0.3821 | 0.3536 | 0.3599 |
|
| 801 |
+
| 4.0 | 40 | 4.786 | 0.3482 | 0.3464 | 0.3413 |
|
| 802 |
+
| 5.0 | 50 | 2.675 | 0.3266 | 0.3142 | 0.3150 |
|
| 803 |
+
| 6.0 | 60 | 1.542 | 0.3303 | 0.3161 | 0.3052 |
|
| 804 |
+
| 7.0 | 70 | 1.1167 | 0.3257 | 0.3131 | 0.3009 |
|
| 805 |
+
| 7.2105 | 72 | - | 0.3255 | 0.3131 | 0.3021 |
|
| 806 |
|
| 807 |
* The bold row denotes the saved checkpoint.
|
| 808 |
|
|
|
|
| 844 |
}
|
| 845 |
```
|
| 846 |
|
| 847 |
+
#### TripletLoss
|
| 848 |
```bibtex
|
| 849 |
+
@misc{hermans2017defense,
|
| 850 |
+
title={In Defense of the Triplet Loss for Person Re-Identification},
|
| 851 |
+
author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
|
| 852 |
year={2017},
|
| 853 |
+
eprint={1703.07737},
|
| 854 |
archivePrefix={arXiv},
|
| 855 |
+
primaryClass={cs.CV}
|
| 856 |
}
|
| 857 |
```
|
| 858 |
|
model.safetensors
CHANGED
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CHANGED
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