{MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 2048 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
pip install -U sentence-transformers
Then you can use the model like this:
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME}')
embeddings = model.encode(sentences)
print(embeddings)
Evaluation Results
For an automated evaluation of this model, see the Sentence Embeddings Benchmark: https://seb.sbert.net
Training
The model was trained with the parameters:
DataLoader:
torch.utils.data.dataloader.DataLoader
of length 350 with parameters:
{'batch_size': 512, 'sampler': 'torch.utils.data.sampler.SequentialSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
Loss:
__main__.MultipleNegativesRankingLoss_with_logging
Parameters of the fit()-Method:
{
"epochs": 1,
"evaluation_steps": 0,
"evaluator": "NoneType",
"max_grad_norm": 1,
"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
"optimizer_params": {
"lr": 2e-05
},
"scheduler": "WarmupLinear",
"steps_per_epoch": null,
"warmup_steps": 50,
"weight_decay": 0.01
}
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: LlamaModel
(1): Pooling({'word_embedding_dimension': 2048, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': True, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
Citing & Authors
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Evaluation results
- v_measure on MTEB AlloProfClusteringP2Ptest set self-reported59.146
- v_measure on MTEB AlloProfClusteringS2Stest set self-reported36.451
- map on MTEB AlloprofRerankingtest set self-reported67.235
- mrr on MTEB AlloprofRerankingtest set self-reported68.494
- map_at_1 on MTEB AlloprofRetrievaltest set self-reported30.285
- map_at_10 on MTEB AlloprofRetrievaltest set self-reported41.724
- map_at_100 on MTEB AlloprofRetrievaltest set self-reported42.696
- map_at_1000 on MTEB AlloprofRetrievaltest set self-reported42.739
- map_at_3 on MTEB AlloprofRetrievaltest set self-reported38.680
- map_at_5 on MTEB AlloprofRetrievaltest set self-reported40.474
- mrr_at_1 on MTEB AlloprofRetrievaltest set self-reported30.285
- mrr_at_10 on MTEB AlloprofRetrievaltest set self-reported41.724
- mrr_at_100 on MTEB AlloprofRetrievaltest set self-reported42.696
- mrr_at_1000 on MTEB AlloprofRetrievaltest set self-reported42.739
- mrr_at_3 on MTEB AlloprofRetrievaltest set self-reported38.680
- mrr_at_5 on MTEB AlloprofRetrievaltest set self-reported40.474
- ndcg_at_1 on MTEB AlloprofRetrievaltest set self-reported30.285
- ndcg_at_10 on MTEB AlloprofRetrievaltest set self-reported47.687
- ndcg_at_100 on MTEB AlloprofRetrievaltest set self-reported52.580
- ndcg_at_1000 on MTEB AlloprofRetrievaltest set self-reported53.738
- ndcg_at_3 on MTEB AlloprofRetrievaltest set self-reported41.439
- ndcg_at_5 on MTEB AlloprofRetrievaltest set self-reported44.670
- precision_at_1 on MTEB AlloprofRetrievaltest set self-reported30.285
- precision_at_10 on MTEB AlloprofRetrievaltest set self-reported6.657
- precision_at_100 on MTEB AlloprofRetrievaltest set self-reported0.898
- precision_at_1000 on MTEB AlloprofRetrievaltest set self-reported0.099
- precision_at_3 on MTEB AlloprofRetrievaltest set self-reported16.477
- precision_at_5 on MTEB AlloprofRetrievaltest set self-reported11.454
- recall_at_1 on MTEB AlloprofRetrievaltest set self-reported30.285
- recall_at_10 on MTEB AlloprofRetrievaltest set self-reported66.572
- recall_at_100 on MTEB AlloprofRetrievaltest set self-reported89.819
- recall_at_1000 on MTEB AlloprofRetrievaltest set self-reported98.955
- recall_at_3 on MTEB AlloprofRetrievaltest set self-reported49.430
- recall_at_5 on MTEB AlloprofRetrievaltest set self-reported57.271
- accuracy on MTEB AmazonReviewsClassification (fr)test set self-reported36.484
- f1 on MTEB AmazonReviewsClassification (fr)test set self-reported36.358
- map_at_1 on MTEB BSARDRetrievaltest set self-reported0.450
- map_at_10 on MTEB BSARDRetrievaltest set self-reported1.184
- map_at_100 on MTEB BSARDRetrievaltest set self-reported1.594
- map_at_1000 on MTEB BSARDRetrievaltest set self-reported1.668
- map_at_3 on MTEB BSARDRetrievaltest set self-reported0.901
- map_at_5 on MTEB BSARDRetrievaltest set self-reported1.014
- mrr_at_1 on MTEB BSARDRetrievaltest set self-reported0.450
- mrr_at_10 on MTEB BSARDRetrievaltest set self-reported1.184
- mrr_at_100 on MTEB BSARDRetrievaltest set self-reported1.594
- mrr_at_1000 on MTEB BSARDRetrievaltest set self-reported1.668
- mrr_at_3 on MTEB BSARDRetrievaltest set self-reported0.901
- mrr_at_5 on MTEB BSARDRetrievaltest set self-reported1.014
- ndcg_at_1 on MTEB BSARDRetrievaltest set self-reported0.450
- ndcg_at_10 on MTEB BSARDRetrievaltest set self-reported1.746
- ndcg_at_100 on MTEB BSARDRetrievaltest set self-reported4.271
- ndcg_at_1000 on MTEB BSARDRetrievaltest set self-reported6.662
- ndcg_at_3 on MTEB BSARDRetrievaltest set self-reported1.126
- ndcg_at_5 on MTEB BSARDRetrievaltest set self-reported1.320
- precision_at_1 on MTEB BSARDRetrievaltest set self-reported0.450
- precision_at_10 on MTEB BSARDRetrievaltest set self-reported0.360
- precision_at_100 on MTEB BSARDRetrievaltest set self-reported0.167
- precision_at_1000 on MTEB BSARDRetrievaltest set self-reported0.036
- precision_at_3 on MTEB BSARDRetrievaltest set self-reported0.601
- precision_at_5 on MTEB BSARDRetrievaltest set self-reported0.450
- recall_at_1 on MTEB BSARDRetrievaltest set self-reported0.450
- recall_at_10 on MTEB BSARDRetrievaltest set self-reported3.604
- recall_at_100 on MTEB BSARDRetrievaltest set self-reported16.667
- recall_at_1000 on MTEB BSARDRetrievaltest set self-reported36.486
- recall_at_3 on MTEB BSARDRetrievaltest set self-reported1.802
- recall_at_5 on MTEB BSARDRetrievaltest set self-reported2.252
- v_measure on MTEB HALClusteringS2Stest set self-reported24.971
- v_measure on MTEB MLSUMClusteringP2Ptest set self-reported42.488
- v_measure on MTEB MLSUMClusteringS2Stest set self-reported34.448
- accuracy on MTEB MTOPDomainClassification (fr)test set self-reported88.963
- f1 on MTEB MTOPDomainClassification (fr)test set self-reported88.775