Training in progress, epoch 0
Browse files- config.json +32 -0
- eval/Information-Retrieval_evaluation_dim_128_results.csv +2 -0
- eval/Information-Retrieval_evaluation_dim_256_results.csv +2 -0
- eval/Information-Retrieval_evaluation_dim_512_results.csv +2 -0
- eval/Information-Retrieval_evaluation_dim_64_results.csv +2 -0
- eval/Information-Retrieval_evaluation_dim_768_results.csv +2 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "BAAI/bge-base-en-v1.5",
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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": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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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": 12,
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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": "4.48.2",
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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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eval/Information-Retrieval_evaluation_dim_128_results.csv
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epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
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0.8421052631578947,4,0.16,0.5066666666666667,0.5733333333333334,0.72,0.16,0.16,0.1688888888888889,0.5066666666666667,0.11466666666666667,0.5733333333333334,0.07199999999999998,0.72,0.3385502645502646,0.4308189573015977,0.3481876865730314
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eval/Information-Retrieval_evaluation_dim_256_results.csv
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epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
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0.8421052631578947,4,0.14666666666666667,0.5333333333333333,0.6533333333333333,0.7333333333333333,0.14666666666666667,0.14666666666666667,0.17777777777777776,0.5333333333333333,0.13066666666666665,0.6533333333333333,0.07333333333333332,0.7333333333333333,0.3374338624338623,0.4339603435138048,0.3476908173638358
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eval/Information-Retrieval_evaluation_dim_512_results.csv
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epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
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0.8421052631578947,4,0.16,0.5333333333333333,0.6,0.7733333333333333,0.16,0.16,0.17777777777777778,0.5333333333333333,0.12,0.6,0.07733333333333332,0.7733333333333333,0.36017989417989416,0.46029052341155013,0.3680915493866381
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eval/Information-Retrieval_evaluation_dim_64_results.csv
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epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
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0.8421052631578947,4,0.16,0.36,0.41333333333333333,0.5866666666666667,0.16,0.16,0.12,0.36,0.08266666666666667,0.41333333333333333,0.05866666666666666,0.5866666666666667,0.2752328042328042,0.34852215596854513,0.290002615281113
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eval/Information-Retrieval_evaluation_dim_768_results.csv
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epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precision@1,cosine-Recall@1,cosine-Precision@3,cosine-Recall@3,cosine-Precision@5,cosine-Recall@5,cosine-Precision@10,cosine-Recall@10,cosine-MRR@10,cosine-NDCG@10,cosine-MAP@100
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0.8421052631578947,4,0.14666666666666667,0.5866666666666667,0.7066666666666667,0.7733333333333333,0.14666666666666667,0.14666666666666667,0.19555555555555554,0.5866666666666667,0.1413333333333333,0.7066666666666667,0.07733333333333332,0.7733333333333333,0.3672962962962962,0.4674277409505965,0.37598414108264017
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2103409f94429c8a7ee0f3fabc5879e8e7f1ce52c712d87e088d92281ea4256f
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size 437951328
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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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tokenizer.json
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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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"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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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ccc8cf31f0fab0869b04150b2d5f9fe6c375e0452f8aa5dfb5e4f61971ea1f30
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size 5752
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vocab.txt
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