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Browse files- Embedder-typosquat-detect/.DS_Store +0 -0
- Embedder-typosquat-detect/1_Pooling/config.json +10 -0
- Embedder-typosquat-detect/config.json +26 -0
- Embedder-typosquat-detect/config_sentence_transformers.json +10 -0
- Embedder-typosquat-detect/domains_embs.csv +3 -0
- Embedder-typosquat-detect/model.safetensors +3 -0
- Embedder-typosquat-detect/modules.json +20 -0
- Embedder-typosquat-detect/sentence_bert_config.json +4 -0
- Embedder-typosquat-detect/special_tokens_map.json +37 -0
- Embedder-typosquat-detect/tokenizer.json +3 -0
- Embedder-typosquat-detect/tokenizer_config.json +64 -0
- Embedder-typosquat-detect/trainer_state.json +1005 -0
- Embedder-typosquat-detect/training_args.bin +3 -0
- Embedder-typosquat-detect/vocab.txt +0 -0
Embedder-typosquat-detect/.DS_Store
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Binary file (6.15 kB). View file
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Embedder-typosquat-detect/1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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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": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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Embedder-typosquat-detect/config.json
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{
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"_name_or_path": "sentence-transformers/all-MiniLM-L6-v2",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.45.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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Embedder-typosquat-detect/config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.1.1",
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"transformers": "4.45.2",
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"pytorch": "2.2.2"
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": null
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}
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Embedder-typosquat-detect/domains_embs.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f448308729bfe3ecec0338d91a91a2ae124f1bef951c613fd602fccc9f62934
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size 32923323
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Embedder-typosquat-detect/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec602811283b8b1d17cec1cb9cd5c99a1ff450a7bbbc5003637c7e1c05749d98
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size 90864192
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Embedder-typosquat-detect/modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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Embedder-typosquat-detect/sentence_bert_config.json
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{
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"max_seq_length": 256,
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"do_lower_case": false
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}
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Embedder-typosquat-detect/special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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Embedder-typosquat-detect/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:851ca67100d372ca3ae031a6abd168f53489eebfd7d89523f35c5c9b4d372c3c
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size 711649
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Embedder-typosquat-detect/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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| 36 |
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"content": "[MASK]",
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| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
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| 39 |
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": false,
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| 45 |
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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| 47 |
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"do_lower_case": true,
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| 48 |
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"mask_token": "[MASK]",
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| 49 |
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"max_length": 128,
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| 50 |
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"model_max_length": 256,
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| 51 |
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"never_split": null,
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"pad_to_multiple_of": null,
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| 53 |
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"pad_token": "[PAD]",
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| 54 |
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"pad_token_type_id": 0,
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| 55 |
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"padding_side": "right",
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| 56 |
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"sep_token": "[SEP]",
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| 57 |
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"stride": 0,
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| 58 |
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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| 60 |
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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Embedder-typosquat-detect/trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5714132731149775,
|
| 3 |
+
"best_model_checkpoint": "models/all-minilm-l6-v2-typosquat-v3.1-gist/checkpoint-1674",
|
| 4 |
+
"epoch": 2.385861561119293,
|
| 5 |
+
"eval_steps": 62,
|
| 6 |
+
"global_step": 1674,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.09131075110456553,
|
| 13 |
+
"grad_norm": 17.575565338134766,
|
| 14 |
+
"learning_rate": 3e-05,
|
| 15 |
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"loss": 1.9075,
|
| 16 |
+
"step": 62
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.09131075110456553,
|
| 20 |
+
"eval_info_retr_eval_dot_accuracy@1": 0.8306221854608952,
|
| 21 |
+
"eval_info_retr_eval_dot_accuracy@10": 0.9250068927488282,
|
| 22 |
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"eval_info_retr_eval_dot_accuracy@3": 0.8876941457586619,
|
| 23 |
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"eval_info_retr_eval_dot_accuracy@5": 0.9032258064516129,
|
| 24 |
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"eval_info_retr_eval_dot_map@100": 0.8651529300165571,
|
| 25 |
+
"eval_info_retr_eval_dot_mrr@10": 0.8627116876220815,
|
| 26 |
+
"eval_info_retr_eval_dot_ndcg@10": 0.8777861364040704,
|
| 27 |
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"eval_info_retr_eval_dot_precision@1": 0.8306221854608952,
|
| 28 |
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"eval_info_retr_eval_dot_precision@10": 0.09250068927488282,
|
| 29 |
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"eval_info_retr_eval_dot_precision@3": 0.2958980485862206,
|
| 30 |
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"eval_info_retr_eval_dot_precision@5": 0.18064516129032257,
|
| 31 |
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"eval_info_retr_eval_dot_recall@1": 0.8306221854608952,
|
| 32 |
+
"eval_info_retr_eval_dot_recall@10": 0.9250068927488282,
|
| 33 |
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"eval_info_retr_eval_dot_recall@3": 0.8876941457586619,
|
| 34 |
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"eval_info_retr_eval_dot_recall@5": 0.9032258064516129,
|
| 35 |
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"eval_loss": 0.8926403522491455,
|
| 36 |
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"eval_para_mine_eval_average_precision": 0.4175368476477107,
|
| 37 |
+
"eval_para_mine_eval_f1": 0.5608786555511446,
|
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