Upload retrain-full joint intent+NER model
Browse files- encoder/config.json +30 -0
- encoder/model.safetensors +3 -0
- heads.pt +3 -0
- joint_config.json +9 -0
- label_config.json +50 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_results.json +26 -0
encoder/config.json
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{
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"add_cross_attention": false,
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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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"bos_token_id": null,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"is_decoder": false,
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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": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"tie_word_embeddings": true,
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"transformers_version": "5.1.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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}
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encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:80cf0f07931d2f2a9587ceaba78b6a1cde1ee35c3be50d4a042d24cea6dc2613
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size 1420394320
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heads.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae3594808fed1a86bfaca39596352f6811f15badfca870a627068e9fb6ab1b9e
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size 84361
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joint_config.json
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{
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"num_intents": 5,
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"num_ner_labels": 15,
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"intent_loss_weight": 0.6000000000000001,
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"ner_loss_weight": 0.3999999999999999,
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"classifier_dropout": null,
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"hidden_size": 1024,
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"hidden_dropout_prob": 0.1
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}
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label_config.json
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{
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"label2id": {
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"O": 0,
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"B-PRODUCT": 1,
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"I-PRODUCT": 2,
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"B-QUANTITY": 3,
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"I-QUANTITY": 4,
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"B-UNIT": 5,
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"I-UNIT": 6,
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"B-DELIVERY_METHOD": 7,
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"I-DELIVERY_METHOD": 8,
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"B-DELIVERY_DATE": 9,
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"I-DELIVERY_DATE": 10,
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"B-ADDRESS": 11,
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"I-ADDRESS": 12,
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"B-TANK_SILO": 13,
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"I-TANK_SILO": 14
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},
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"id2label": {
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"0": "O",
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"1": "B-PRODUCT",
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"2": "I-PRODUCT",
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"3": "B-QUANTITY",
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"4": "I-QUANTITY",
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"5": "B-UNIT",
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"6": "I-UNIT",
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"7": "B-DELIVERY_METHOD",
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"8": "I-DELIVERY_METHOD",
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"9": "B-DELIVERY_DATE",
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"10": "I-DELIVERY_DATE",
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"11": "B-ADDRESS",
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"12": "I-ADDRESS",
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"13": "B-TANK_SILO",
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"14": "I-TANK_SILO"
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},
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"intent2id": {
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"create_order": 0,
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"edit_order": 1,
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"confirm": 2,
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"reject": 3,
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"help": 4
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},
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"id2intent": {
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"0": "create_order",
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"1": "edit_order",
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"2": "confirm",
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"3": "reject",
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"4": "help"
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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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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"is_local": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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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": false,
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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_results.json
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{
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"retrain_full": true,
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"train_size": 450,
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"test_results": {
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"eval_loss": 0.07978741824626923,
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"eval_ner_precision": 0.9270833333333334,
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"eval_ner_recall": 0.9518716577540107,
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"eval_ner_f1": 0.9393139841688656,
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"eval_intent_accuracy": 1.0,
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"eval_intent_f1": 1.0,
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"eval_f1": 0.9696569920844328,
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"eval_runtime": 1.1246,
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"eval_samples_per_second": 44.461,
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"eval_steps_per_second": 6.225,
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"epoch": 5.0
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},
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"best_hyperparameters": {
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"learning_rate": 5e-05,
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"num_train_epochs": 5,
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"weight_decay": 0.01,
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"per_device_train_batch_size": 8,
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"warmup_ratio": 0.2,
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"loss_alpha": 0.6000000000000001,
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"freeze_layers": 0
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}
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}
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