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Browse files- .gitattributes +1 -0
- 1_Pooling/config.json +9 -0
- README.md +86 -0
- config.json +33 -0
- config_sentence_transformers.json +7 -0
- evaluation/beir.json +1 -0
- modules.json +14 -0
- pytorch_model-00001-of-00003.bin +3 -0
- pytorch_model-00002-of-00003.bin +3 -0
- pytorch_model-00003-of-00003.bin +3 -0
- pytorch_model.bin.index.json +372 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +6 -0
- tokenizer.json +3 -0
- tokenizer_config.json +11 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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1_Pooling/config.json
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{
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"word_embedding_dimension": 4096,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": true,
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"pooling_mode_lasttoken": false
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}
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README.md
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---
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 4096 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 15600 with parameters:
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```
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{'batch_size': 32, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.MultipleNegativesRankingLoss.MNRLGradCache`
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Parameters of the fit()-Method:
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```
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{
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"epochs": 10,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'transformers.optimization.AdamW'>",
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"optimizer_params": {
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"lr": 0.0004
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 1000,
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"weight_decay": 0.01
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}
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 300, 'do_lower_case': False}) with Transformer model: BloomModel
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(1): Pooling({'word_embedding_dimension': 4096, '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})
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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config.json
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{
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"_name_or_path": "/gpfsscratch/rech/six/commun/commun/experiments/muennighoff/bloomckpt/6b3/bloom-7b1",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomModel"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_embed": 4096,
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"n_inner": null,
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"n_layer": 30,
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"num_attention_heads": 32,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250682
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.1.0",
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"transformers": "4.20.1",
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"pytorch": "1.12.0"
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}
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}
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evaluation/beir.json
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{"ndcgs": {"sgpt-bloom-7b1-msmarco": {"scifact": {"NDCG@1": 0.59, "NDCG@3": 0.66868, "NDCG@5": 0.69178, "NDCG@10": 0.71824, "NDCG@100": 0.74152, "NDCG@1000": 0.74616}, "nfcorpus": {"NDCG@1": 0.45975, "NDCG@3": 0.41542, "NDCG@5": 0.39154, "NDCG@10": 0.35748, "NDCG@100": 0.32859, "NDCG@1000": 0.41791}, "arguana": {"NDCG@1": 0.23542, "NDCG@3": 0.36629, "NDCG@5": 0.41642, "NDCG@10": 0.47281, "NDCG@100": 0.52192, "NDCG@1000": 0.52529}, "cqadupstack_webmasters": {"NDCG@1": 0.27668, "NDCG@3": 0.32185, "NDCG@5": 0.33953, "NDCG@10": 0.36713, "NDCG@100": 0.42275, "NDCG@1000": 0.45387}, "cqadupstack_android": {"NDCG@1": 0.33476, "NDCG@3": 0.3679, "NDCG@5": 0.39528, "NDCG@10": 0.42525, "NDCG@100": 0.47769, "NDCG@1000": 0.50024}, "cqadupstack_mathematica": {"NDCG@1": 0.15796, "NDCG@3": 0.20281, "NDCG@5": 0.22875, "NDCG@10": 0.25536, "NDCG@100": 0.31178, "NDCG@1000": 0.34362}, "cqadupstack_english": {"NDCG@1": 0.37325, "NDCG@3": 0.40509, "NDCG@5": 0.42261, "NDCG@10": 0.44531, "NDCG@100": 0.48826, "NDCG@1000": 0.50904}, "cqadupstack_gaming": {"NDCG@1": 0.40313, "NDCG@3": 0.46762, "NDCG@5": 0.4959, "NDCG@10": 0.52259, "NDCG@100": 0.56564, "NDCG@1000": 0.5797}, "scidocs": {"NDCG@1": 0.208, "NDCG@3": 0.17601, "NDCG@5": 0.15464, "NDCG@10": 0.18435, "NDCG@100": 0.25829, "NDCG@1000": 0.30881}, "cqadupstack_programmers": {"NDCG@1": 0.2968, "NDCG@3": 0.33463, "NDCG@5": 0.35794, "NDCG@10": 0.38225, "NDCG@100": 0.44025, "NDCG@1000": 0.46704}, "cqadupstack_physics": {"NDCG@1": 0.31954, "NDCG@3": 0.36422, "NDCG@5": 0.39347, "NDCG@10": 0.41971, "NDCG@100": 0.47164, "NDCG@1000": 0.49612}, "cqadupstack_gis": {"NDCG@1": 0.25424, "NDCG@3": 0.31326, "NDCG@5": 0.33256, "NDCG@10": 0.35723, "NDCG@100": 0.41311, "NDCG@1000": 0.43261}, "cqadupstack_unix": {"NDCG@1": 0.27985, "NDCG@3": 0.3171, "NDCG@5": 0.33422, "NDCG@10": 0.35778, "NDCG@100": 0.41138, "NDCG@1000": 0.43812}, "cqadupstack_stats": {"NDCG@1": 0.23773, "NDCG@3": 0.28818, "NDCG@5": 0.30341, "NDCG@10": 0.32666, "NDCG@100": 0.36923, "NDCG@1000": 0.39845}, "fiqa": {"NDCG@1": 0.34105, "NDCG@3": 0.31934, "NDCG@5": 0.33612, "NDCG@10": 0.35736, "NDCG@100": 0.42409, "NDCG@1000": 0.45831}, "cqadupstack_wordpress": {"NDCG@1": 0.21627, "NDCG@3": 0.26489, "NDCG@5": 0.29248, "NDCG@10": 0.31721, "NDCG@100": 0.36279, "NDCG@1000": 0.39041}, "cqadupstack_tex": {"NDCG@1": 0.19718, "NDCG@3": 0.23505, "NDCG@5": 0.25141, "NDCG@10": 0.27375, "NDCG@100": 0.32004, "NDCG@1000": 0.35069}, "cqadupstack": {"NDCG@1": 0.2789491666666667, "NDCG@3": 0.32354999999999995, "NDCG@5": 0.3456300000000001, "NDCG@10": 0.3708525, "NDCG@100": 0.42121333333333333, "NDCG@1000": 0.4466591666666666}, "quora": {"NDCG@1": 0.6307, "NDCG@3": 0.69659, "NDCG@5": 0.72302, "NDCG@10": 0.74655, "NDCG@100": 0.77546, "NDCG@1000": 0.77864}, "trec-covid": {"NDCG@1": 0.88, "NDCG@3": 0.86877, "NDCG@5": 0.84621, "NDCG@10": 0.82731, "NDCG@100": 0.61742, "NDCG@1000": 0.52225}, "webis-touche2020": {"NDCG@1": 0.26531, "NDCG@3": 0.26197, "NDCG@5": 0.24561, "NDCG@10": 0.2365, "NDCG@100": 0.35251, "NDCG@1000": 0.46791}}}, "maps": {"sgpt-bloom-7b1-msmarco": {"scifact": {"MAP@1": 0.55661, "MAP@3": 0.6387, "MAP@5": 0.65383, "MAP@10": 0.66782, "MAP@100": 0.67334, "MAP@1000": 0.67348}, "nfcorpus": {"MAP@1": 0.0569, "MAP@3": 0.09625, "MAP@5": 0.11132, "MAP@10": 0.1309, "MAP@100": 0.16717, "MAP@1000": 0.18237}, "arguana": {"MAP@1": 0.23542, "MAP@3": 0.33345, "MAP@5": 0.36112, "MAP@10": 0.3848, "MAP@100": 0.3964, "MAP@1000": 0.39655}, "cqadupstack_webmasters": {"MAP@1": 0.23058, "MAP@3": 0.28613, "MAP@5": 0.29925, "MAP@10": 0.31308, "MAP@100": 0.32818, "MAP@1000": 0.33044}, "cqadupstack_android": {"MAP@1": 0.2696, "MAP@3": 0.32762, "MAP@5": 0.34832, "MAP@10": 0.36428, "MAP@100": 0.37719, "MAP@1000": 0.37843}, "cqadupstack_mathematica": {"MAP@1": 0.12403, "MAP@3": 0.17655, "MAP@5": 0.1919, "MAP@10": 0.20359, "MAP@100": 0.21506, "MAP@1000": 0.21639}, "cqadupstack_english": {"MAP@1": 0.29571, "MAP@3": 0.36207, "MAP@5": 0.37697, "MAP@10": 0.39027, "MAP@100": 0.40193, "MAP@1000": 0.40318}, "cqadupstack_gaming": {"MAP@1": 0.3551, "MAP@3": 0.43422, "MAP@5": 0.45209, "MAP@10": 0.4655, "MAP@100": 0.47634, "MAP@1000": 0.47699}, "scidocs": {"MAP@1": 0.04223, "MAP@3": 0.07854, "MAP@5": 0.09393, "MAP@10": 0.10847, "MAP@100": 0.12704, "MAP@1000": 0.12977}, "cqadupstack_programmers": {"MAP@1": 0.23765, "MAP@3": 0.2984, "MAP@5": 0.31543, "MAP@10": 0.32737, "MAP@100": 0.34121, "MAP@1000": 0.34252}, "cqadupstack_physics": {"MAP@1": 0.2679, "MAP@3": 0.32851, "MAP@5": 0.34813, "MAP@10": 0.36139, "MAP@100": 0.37356, "MAP@1000": 0.3749}, "cqadupstack_gis": {"MAP@1": 0.234, "MAP@3": 0.28982, "MAP@5": 0.30107, "MAP@10": 0.3118, "MAP@100": 0.3229, "MAP@1000": 0.32358}, "cqadupstack_unix": {"MAP@1": 0.24157, "MAP@3": 0.29199, "MAP@5": 0.30319, "MAP@10": 0.31382, "MAP@100": 0.32501, "MAP@1000": 0.32611}, "cqadupstack_stats": {"MAP@1": 0.21433, "MAP@3": 0.26445, "MAP@5": 0.27429, "MAP@10": 0.28455, "MAP@100": 0.29284, "MAP@1000": 0.29398}, "fiqa": {"MAP@1": 0.17039, "MAP@3": 0.24454, "MAP@5": 0.26793, "MAP@10": 0.28384, "MAP@100": 0.30107, "MAP@1000": 0.303}, "cqadupstack_wordpress": {"MAP@1": 0.20123, "MAP@3": 0.24563, "MAP@5": 0.26177, "MAP@10": 0.27227, "MAP@100": 0.28093, "MAP@1000": 0.28198}, "cqadupstack_tex": {"MAP@1": 0.16314, "MAP@3": 0.20877, "MAP@5": 0.21981, "MAP@10": 0.23003, "MAP@100": 0.23921, "MAP@1000": 0.24047}, "quora": {"MAP@1": 0.54941, "MAP@3": 0.65382, "MAP@5": 0.67572, "MAP@10": 0.69008, "MAP@100": 0.70003, "MAP@1000": 0.70036}, "trec-covid": {"MAP@1": 0.00251, "MAP@3": 0.00716, "MAP@5": 0.01121, "MAP@10": 0.02093, "MAP@100": 0.12252, "MAP@1000": 0.27831}, "webis-touche2020": {"MAP@1": 0.02322, "MAP@3": 0.04791, "MAP@5": 0.06072, "MAP@10": 0.08799, "MAP@100": 0.15053, "MAP@1000": 0.16628}}}, "recalls": {"sgpt-bloom-7b1-msmarco": {"scifact": {"Recall@1": 0.55661, "Recall@3": 0.72433, "Recall@5": 0.78361, "Recall@10": 0.858, "Recall@100": 0.96167, "Recall@1000": 1.0}, "nfcorpus": {"Recall@1": 0.0569, "Recall@3": 0.10864, 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