Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
biencoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:1451941
loss:MultipleNegativesRankingLoss
Eval Results
text-embeddings-inference
Training in progress, step 1000
Browse files
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Alibaba-NLP/gte-modernbert-base",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": false,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"Wqkv",
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"Wo"
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],
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"target_parameters": null,
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"task_type": "FEATURE_EXTRACTION",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:85b0b9b432bd96a6792c736d2a6d015059e411ff8e63ef314ee0da01899a94bd
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size 9207032
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eval/binary_classification_evaluation_test_results.csv
CHANGED
@@ -433,3 +433,8 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
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4.232804232804233,32000,0.7223037358314119,0.7253189446248114,0.613902004799133,0.886145251396648,0.690575874692857,0.47146300343005826
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4.365079365079365,33000,0.7158220602699086,0.7182069930921152,0.6071465322082733,0.8789944134078213,0.6817875439897024,0.4556655095651951
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4.497354497354498,34000,0.7213201979974525,0.7271285588186892,0.6076617238878748,0.9050651769087523,0.6862317912116369,0.47517110412821156
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4.232804232804233,32000,0.7223037358314119,0.7253189446248114,0.613902004799133,0.886145251396648,0.690575874692857,0.47146300343005826
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4.365079365079365,33000,0.7158220602699086,0.7182069930921152,0.6071465322082733,0.8789944134078213,0.6817875439897024,0.4556655095651951
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4.497354497354498,34000,0.7213201979974525,0.7271285588186892,0.6076617238878748,0.9050651769087523,0.6862317912116369,0.47517110412821156
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0.13227513227513227,1000,0.7037777526966672,0.7122170715871171,0.5989283084033827,0.8783612662942272,0.6476617871668658,0.44182914870985407
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0.26455026455026454,2000,0.7037777526966672,0.7122170715871171,0.5989283084033827,0.8783612662942272,0.6476617871668658,0.44182914870985407
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0.3968253968253968,3000,0.7037777526966672,0.7122170715871171,0.5989283084033827,0.8783612662942272,0.6476617871668658,0.44182914870985407
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0.5291005291005291,4000,0.7037777526966672,0.7122170715871171,0.5989283084033827,0.8783612662942272,0.6476617871668658,0.44182914870985407
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0.13227513227513227,1000,0.7213201979974525,0.7271285588186892,0.6076617238878748,0.9050651769087523,0.6862317912116369,0.47517110412821156
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initial_metrics.json
CHANGED
@@ -1,10 +1,10 @@
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{
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"test_cosine_accuracy": 0.
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"test_cosine_accuracy_threshold": 0.
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"test_cosine_f1": 0.
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"test_cosine_f1_threshold": 0.
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"test_cosine_precision": 0.
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"test_cosine_recall": 0.
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"test_cosine_ap": 0.
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"test_cosine_mcc": 0.
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}
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{
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"test_cosine_accuracy": 0.7213201979974525,
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"test_cosine_accuracy_threshold": 0.8022605776786804,
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"test_cosine_f1": 0.7271285588186892,
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"test_cosine_f1_threshold": 0.7352645397186279,
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"test_cosine_precision": 0.6076617238878748,
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"test_cosine_recall": 0.9050651769087523,
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"test_cosine_ap": 0.6862317912116369,
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"test_cosine_mcc": 0.47517110412821156
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}
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