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quanfire-ai
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multilingual-embedding

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quanfire-multilingual-embedding
sentence-embeddings
multilingual
indic
cross-lingual-retrieval
lora
e5
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multilingual-embedding
File size: 1,260 Bytes
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{
  "format_version": 2,
  "checkpoint": "intfloat/multilingual-e5-small",
  "dimension": 384,
  "pooling": "mean",
  "max_length": 256,
  "normalize": true,
  "data_provenance": "public",
  "query_prefix": "",
  "passage_prefix": "",
  "lora": {
    "rank": 32,
    "alpha": 64,
    "dropout": 0.0,
    "targets": [
      "query",
      "value"
    ]
  },
  "adapter_parameters": 589824,
  "notes": {
    "experiment": "prod-a70s30-fr",
    "data_provenance": "public",
    "trained_on": "data/pairs/prod-a70s30-fr.jsonl.gz",
    "scored_against": "data/pairs/prod-a70s30-fr.jsonl.gz",
    "train_pairs": 1023266,
    "adaptation": "in-distribution",
    "train_kinds": [
      "aligned_lead",
      "aligned_nonpivot",
      "aligned_title_lead",
      "sentence",
      "tatoeba"
    ],
    "train_languages": [
      "bn",
      "fr",
      "gu",
      "hi",
      "kn",
      "ml",
      "mr",
      "sa",
      "ta",
      "te",
      "ur"
    ],
    "held_out_languages": [
      "bn",
      "fr",
      "gu",
      "hi",
      "kn",
      "ml",
      "mr",
      "sa",
      "ta",
      "te",
      "ur"
    ],
    "recall_at_1_before": 0.7121,
    "recall_at_1_after": 0.8943,
    "epochs": 1,
    "learning_rate": 0.0001,
    "batch_size": 256
  }
}