{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 1639 with parameters:
{'batch_size': 128, 'sampler': 'torch.utils.data.sampler.RandomSampler', '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": 500,
"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-reported59.891
- v_measure on MTEB AlloProfClusteringS2Stest set self-reported38.465
- map_at_1 on MTEB AlloprofRetrievaltest set self-reported28.428
- map_at_10 on MTEB AlloprofRetrievaltest set self-reported39.547
- map_at_100 on MTEB AlloprofRetrievaltest set self-reported40.542
- map_at_1000 on MTEB AlloprofRetrievaltest set self-reported40.591
- map_at_3 on MTEB AlloprofRetrievaltest set self-reported36.465
- map_at_5 on MTEB AlloprofRetrievaltest set self-reported38.234
- mrr_at_1 on MTEB AlloprofRetrievaltest set self-reported28.437
- mrr_at_10 on MTEB AlloprofRetrievaltest set self-reported39.551
- mrr_at_100 on MTEB AlloprofRetrievaltest set self-reported40.546
- mrr_at_1000 on MTEB AlloprofRetrievaltest set self-reported40.596
- mrr_at_3 on MTEB AlloprofRetrievaltest set self-reported36.469
- mrr_at_5 on MTEB AlloprofRetrievaltest set self-reported38.238
- ndcg_at_1 on MTEB AlloprofRetrievaltest set self-reported28.428
- ndcg_at_10 on MTEB AlloprofRetrievaltest set self-reported45.407
- ndcg_at_100 on MTEB AlloprofRetrievaltest set self-reported50.457
- ndcg_at_1000 on MTEB AlloprofRetrievaltest set self-reported51.774
- ndcg_at_3 on MTEB AlloprofRetrievaltest set self-reported39.065
- ndcg_at_5 on MTEB AlloprofRetrievaltest set self-reported42.253
- precision_at_1 on MTEB AlloprofRetrievaltest set self-reported28.428
- precision_at_10 on MTEB AlloprofRetrievaltest set self-reported6.402
- precision_at_100 on MTEB AlloprofRetrievaltest set self-reported0.881
- precision_at_1000 on MTEB AlloprofRetrievaltest set self-reported0.099
- precision_at_3 on MTEB AlloprofRetrievaltest set self-reported15.527
- precision_at_5 on MTEB AlloprofRetrievaltest set self-reported10.865
- recall_at_1 on MTEB AlloprofRetrievaltest set self-reported28.428
- recall_at_10 on MTEB AlloprofRetrievaltest set self-reported64.016
- recall_at_100 on MTEB AlloprofRetrievaltest set self-reported88.143
- recall_at_1000 on MTEB AlloprofRetrievaltest set self-reported98.506
- recall_at_3 on MTEB AlloprofRetrievaltest set self-reported46.580
- recall_at_5 on MTEB AlloprofRetrievaltest set self-reported54.326
- accuracy on MTEB AmazonReviewsClassification (fr)test set self-reported36.624
- f1 on MTEB AmazonReviewsClassification (fr)test set self-reported36.403
- ndcg_at_10 on MTEB BSARDRetrievaltest set self-reported0.000
- accuracy on MTEB DiaBLaBitextMining (fr-en)test set self-reported71.521
- f1 on MTEB DiaBLaBitextMining (fr-en)test set self-reported69.353
- precision on MTEB DiaBLaBitextMining (fr-en)test set self-reported68.621
- recall on MTEB DiaBLaBitextMining (fr-en)test set self-reported71.521
- v_measure on MTEB HALClusteringS2Stest set self-reported25.681
- v_measure on MTEB MLSUMClusteringP2Ptest set self-reported44.007
- v_measure on MTEB MLSUMClusteringS2Stest set self-reported36.919
- accuracy on MTEB MTOPDomainClassification (fr)test set self-reported88.700
- f1 on MTEB MTOPDomainClassification (fr)test set self-reported88.574