End of training

README.md

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+---
+license: apache-2.0
+base_model: hfl/chinese-roberta-wwm-ext
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RoBERTa-ext-lora-chinese-finetuned-ner
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# RoBERTa-ext-lora-chinese-finetuned-ner
+
+This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6506
+- Precision: 0.6463
+- Recall: 0.7339
+- F1: 0.6873
+- Accuracy: 0.9081
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.6585        | 1.0   | 126  | 0.3495          | 0.4949    | 0.6045 | 0.5443 | 0.8916   |
+| 0.3145        | 2.0   | 252  | 0.3116          | 0.5286    | 0.6644 | 0.5888 | 0.9000   |
+| 0.2644        | 3.0   | 378  | 0.3112          | 0.5425    | 0.7012 | 0.6117 | 0.9029   |
+| 0.2373        | 4.0   | 504  | 0.3028          | 0.5696    | 0.7090 | 0.6317 | 0.9058   |
+| 0.2078        | 5.0   | 630  | 0.3141          | 0.5933    | 0.7102 | 0.6465 | 0.9059   |
+| 0.192         | 6.0   | 756  | 0.3091          | 0.5842    | 0.7037 | 0.6384 | 0.9069   |
+| 0.1708        | 7.0   | 882  | 0.3224          | 0.5803    | 0.7165 | 0.6413 | 0.9046   |
+| 0.1557        | 8.0   | 1008 | 0.3306          | 0.6088    | 0.6833 | 0.6439 | 0.9067   |
+| 0.1424        | 9.0   | 1134 | 0.3243          | 0.6031    | 0.6961 | 0.6463 | 0.9089   |
+| 0.1285        | 10.0  | 1260 | 0.3451          | 0.6041    | 0.7142 | 0.6546 | 0.9064   |
+| 0.1223        | 11.0  | 1386 | 0.3578          | 0.6016    | 0.7080 | 0.6505 | 0.9054   |
+| 0.1111        | 12.0  | 1512 | 0.3615          | 0.6167    | 0.7158 | 0.6625 | 0.9080   |
+| 0.1025        | 13.0  | 1638 | 0.3918          | 0.6073    | 0.7163 | 0.6573 | 0.9051   |
+| 0.093         | 14.0  | 1764 | 0.3957          | 0.6119    | 0.7329 | 0.6670 | 0.9078   |
+| 0.0858        | 15.0  | 1890 | 0.4050          | 0.6179    | 0.7052 | 0.6587 | 0.9067   |
+| 0.0769        | 16.0  | 2016 | 0.4218          | 0.6178    | 0.7170 | 0.6637 | 0.9067   |
+| 0.0716        | 17.0  | 2142 | 0.4213          | 0.6090    | 0.7223 | 0.6608 | 0.9057   |
+| 0.0657        | 18.0  | 2268 | 0.4486          | 0.6028    | 0.7299 | 0.6603 | 0.9048   |
+| 0.0652        | 19.0  | 2394 | 0.4388          | 0.6301    | 0.7193 | 0.6718 | 0.9058   |
+| 0.0653        | 20.0  | 2520 | 0.4563          | 0.6165    | 0.7002 | 0.6557 | 0.9039   |
+| 0.0568        | 21.0  | 2646 | 0.4549          | 0.6057    | 0.7283 | 0.6614 | 0.9034   |
+| 0.0522        | 22.0  | 2772 | 0.4711          | 0.6216    | 0.7205 | 0.6674 | 0.9066   |
+| 0.0486        | 23.0  | 2898 | 0.4995          | 0.6267    | 0.7148 | 0.6678 | 0.9062   |
+| 0.0477        | 24.0  | 3024 | 0.4938          | 0.6228    | 0.7261 | 0.6705 | 0.9056   |
+| 0.0415        | 25.0  | 3150 | 0.5129          | 0.6365    | 0.7180 | 0.6748 | 0.9075   |
+| 0.0404        | 26.0  | 3276 | 0.5096          | 0.6287    | 0.7258 | 0.6738 | 0.9072   |
+| 0.0364        | 27.0  | 3402 | 0.5331          | 0.6390    | 0.7205 | 0.6773 | 0.9058   |
+| 0.0362        | 28.0  | 3528 | 0.5572          | 0.6317    | 0.7263 | 0.6757 | 0.9061   |
+| 0.0331        | 29.0  | 3654 | 0.5603          | 0.6377    | 0.7228 | 0.6776 | 0.9050   |
+| 0.0316        | 30.0  | 3780 | 0.5588          | 0.6304    | 0.7256 | 0.6746 | 0.9050   |
+| 0.0321        | 31.0  | 3906 | 0.5579          | 0.6366    | 0.7190 | 0.6753 | 0.9067   |
+| 0.0283        | 32.0  | 4032 | 0.5785          | 0.6469    | 0.7163 | 0.6798 | 0.9067   |
+| 0.0284        | 33.0  | 4158 | 0.5698          | 0.6357    | 0.7246 | 0.6773 | 0.9073   |
+| 0.0256        | 34.0  | 4284 | 0.5816          | 0.6333    | 0.7314 | 0.6788 | 0.9066   |
+| 0.0231        | 35.0  | 4410 | 0.6032          | 0.6273    | 0.7276 | 0.6737 | 0.9059   |
+| 0.0223        | 36.0  | 4536 | 0.6044          | 0.6317    | 0.7238 | 0.6746 | 0.9067   |
+| 0.0225        | 37.0  | 4662 | 0.6007          | 0.6243    | 0.7246 | 0.6707 | 0.9060   |
+| 0.0209        | 38.0  | 4788 | 0.6072          | 0.6325    | 0.7213 | 0.6740 | 0.9067   |
+| 0.0199        | 39.0  | 4914 | 0.6145          | 0.6379    | 0.7261 | 0.6791 | 0.9075   |
+| 0.018         | 40.0  | 5040 | 0.6299          | 0.6412    | 0.7341 | 0.6845 | 0.9070   |
+| 0.0174        | 41.0  | 5166 | 0.6264          | 0.6448    | 0.7299 | 0.6847 | 0.9069   |
+| 0.0172        | 42.0  | 5292 | 0.6389          | 0.6409    | 0.7369 | 0.6856 | 0.9061   |
+| 0.0155        | 43.0  | 5418 | 0.6489          | 0.6381    | 0.7241 | 0.6784 | 0.9071   |
+| 0.0156        | 44.0  | 5544 | 0.6418          | 0.6384    | 0.7339 | 0.6828 | 0.9065   |
+| 0.0143        | 45.0  | 5670 | 0.6503          | 0.6378    | 0.7243 | 0.6783 | 0.9066   |
+| 0.0149        | 46.0  | 5796 | 0.6506          | 0.6463    | 0.7339 | 0.6873 | 0.9081   |
+| 0.0135        | 47.0  | 5922 | 0.6497          | 0.6432    | 0.7294 | 0.6836 | 0.9072   |
+| 0.0135        | 48.0  | 6048 | 0.6563          | 0.6389    | 0.7256 | 0.6795 | 0.9069   |
+| 0.013         | 49.0  | 6174 | 0.6599          | 0.6377    | 0.7306 | 0.6810 | 0.9066   |
+| 0.0125        | 50.0  | 6300 | 0.6582          | 0.6380    | 0.7278 | 0.6800 | 0.9070   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "hfl/chinese-roberta-wwm-ext",
+  "bias": "all",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "TOKEN_CLS"
+}

adapter_model.safetensors

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+oid sha256:ef4c10d48a657f65217ee3e885b734d20d94ac2670b2e3a91659bbc03f148dc0
+size 2877116

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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "ignore_mismatched_sizes": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "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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