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config.json

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+{
+  "_name_or_path": "google/mobilebert-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_activation": false,
+  "classifier_dropout": null,
+  "embedding_size": 128,
+  "hidden_act": "relu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 512,
+  "id2label": {
+    "0": "O",
+    "1": "B-FOOD_QUANTITY",
+    "2": "B-FOOD_SIZE",
+    "3": "B-FOOD",
+    "4": "I-FOOD",
+    "5": "B-FOOD_INGREDIENTS",
+    "6": "I-FOOD_INGREDIENTS",
+    "7": "B-DRINK_SIZE",
+    "8": "B-DRINK_QUANTITY",
+    "9": "B-DRINK",
+    "10": "B-PAYMENT",
+    "11": "I-PAYMENT",
+    "12": "B-DELIVERY_ADDRESS",
+    "13": "I-DRINK_SIZE",
+    "14": "I-DRINK",
+    "15": "I-FOOD_SIZE",
+    "16": "I-ING",
+    "17": "I-DELIVERY_ADDRESS"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "intra_bottleneck_size": 128,
+  "key_query_shared_bottleneck": true,
+  "label2id": {
+    "B-DELIVERY_ADDRESS": 12,
+    "B-DRINK": 9,
+    "B-DRINK_QUANTITY": 8,
+    "B-DRINK_SIZE": 7,
+    "B-FOOD": 3,
+    "B-FOOD_INGREDIENTS": 5,
+    "B-FOOD_QUANTITY": 1,
+    "B-FOOD_SIZE": 2,
+    "B-PAYMENT": 10,
+    "I-DELIVERY_ADDRESS": 17,
+    "I-DRINK": 14,
+    "I-DRINK_SIZE": 13,
+    "I-FOOD": 4,
+    "I-FOOD_INGREDIENTS": 6,
+    "I-FOOD_SIZE": 15,
+    "I-ING": 16,
+    "I-PAYMENT": 11,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "normalization_type": "no_norm",
+  "num_attention_heads": 4,
+  "num_feedforward_networks": 4,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "trigram_input": true,
+  "true_hidden_size": 128,
+  "type_vocab_size": 2,
+  "use_bottleneck": true,
+  "use_bottleneck_attention": false,
+  "use_cache": true,
+  "vocab_size": 30522
+}

eval_results.txt

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+                  precision    recall  f1-score   support
+
+DELIVERY_ADDRESS     0.9881    0.9881    0.9881        84
+           DRINK     0.7027    0.8000    0.7482        65
+  DRINK_QUANTITY     0.9804    0.9804    0.9804        51
+      DRINK_SIZE     0.9688    0.9538    0.9612        65
+            FOOD     0.8443    0.8981    0.8704       157
+FOOD_INGREDIENTS     0.8540    0.9106    0.8814       302
+   FOOD_QUANTITY     0.9855    1.0000    0.9927       136
+       FOOD_SIZE     1.0000    1.0000    1.0000        33
+         PAYMENT     0.8816    0.9306    0.9054        72
+
+       micro avg     0.8910    0.9316    0.9108       965
+       macro avg     0.9117    0.9402    0.9253       965
+    weighted avg     0.8939    0.9316    0.9121       965
+
+eval_loss = 0.11614906560215685
+f1_score = 0.9108409321175278
+precision = 0.8909811694747275
+recall = 0.9316062176165804

model_args.json

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+{"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "outputs/best_model", "cache_dir": "cache_dir/", "config": {}, "cosine_schedule_num_cycles": 0.5, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 0, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": false, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 2000, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 3e-05, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 128, "model_name": "google/mobilebert-uncased", "model_type": "bert", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 5, "optimizer": "AdamW", "output_dir": "outputs/", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 1, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": true, "save_optimizer_and_scheduler": true, "save_steps": 2000, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": null, "tokenizer_type": null, "train_batch_size": 4, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": true, "use_multiprocessing_for_evaluation": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 42, "weight_decay": 0.0, "model_class": "NERModel", "classification_report": true, "labels_list": ["O", "B-FOOD_QUANTITY", "B-FOOD_SIZE", "B-FOOD", "I-FOOD", "B-FOOD_INGREDIENTS", "I-FOOD_INGREDIENTS", "B-DRINK_SIZE", "B-DRINK_QUANTITY", "B-DRINK", "B-PAYMENT", "I-PAYMENT", "B-DELIVERY_ADDRESS", "I-DRINK_SIZE", "I-DRINK", "I-FOOD_SIZE", "I-ING", "I-DELIVERY_ADDRESS"], "lazy_loading": false, "lazy_loading_start_line": 0, "onnx": false, "special_tokens_list": []}

pytorch_model.bin

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+size 215227437

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 3323