End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: hfl/chinese-roberta-wwm-ext-large
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: robert_bilstm_mega_res-ner-msra-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. -->
+
+# robert_bilstm_mega_res-ner-msra-ner
+
+This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext-large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0668
+- Precision: 0.9473
+- Recall: 0.9473
+- F1: 0.9473
+- Accuracy: 0.9928
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0421        | 1.0   | 1449  | 0.0274          | 0.9225    | 0.9341 | 0.9282 | 0.9923   |
+| 0.0077        | 2.0   | 2898  | 0.0355          | 0.9255    | 0.9389 | 0.9321 | 0.9910   |
+| 0.0066        | 3.0   | 4347  | 0.0376          | 0.9397    | 0.9384 | 0.9391 | 0.9921   |
+| 0.0031        | 4.0   | 5796  | 0.0421          | 0.9385    | 0.9401 | 0.9393 | 0.9926   |
+| 0.0071        | 5.0   | 7245  | 0.0446          | 0.9365    | 0.9446 | 0.9406 | 0.9923   |
+| 0.0007        | 6.0   | 8694  | 0.0431          | 0.9457    | 0.9398 | 0.9428 | 0.9930   |
+| 0.0003        | 7.0   | 10143 | 0.0494          | 0.9412    | 0.9408 | 0.9410 | 0.9926   |
+| 0.0013        | 8.0   | 11592 | 0.0584          | 0.9379    | 0.9338 | 0.9358 | 0.9917   |
+| 0.0003        | 9.0   | 13041 | 0.0557          | 0.9373    | 0.9422 | 0.9398 | 0.9923   |
+| 0.0011        | 10.0  | 14490 | 0.0525          | 0.9395    | 0.9463 | 0.9429 | 0.9926   |
+| 0.0           | 11.0  | 15939 | 0.0569          | 0.9379    | 0.9449 | 0.9414 | 0.9924   |
+| 0.0001        | 12.0  | 17388 | 0.0586          | 0.9358    | 0.9434 | 0.9396 | 0.9922   |
+| 0.0           | 13.0  | 18837 | 0.0601          | 0.9439    | 0.9437 | 0.9438 | 0.9926   |
+| 0.0013        | 14.0  | 20286 | 0.0606          | 0.9395    | 0.9454 | 0.9424 | 0.9924   |
+| 0.0           | 15.0  | 21735 | 0.0591          | 0.9451    | 0.9495 | 0.9473 | 0.9926   |
+| 0.0           | 16.0  | 23184 | 0.0608          | 0.9399    | 0.9490 | 0.9444 | 0.9926   |
+| 0.0           | 17.0  | 24633 | 0.0620          | 0.9440    | 0.9454 | 0.9447 | 0.9927   |
+| 0.0           | 18.0  | 26082 | 0.0636          | 0.9493    | 0.9454 | 0.9473 | 0.9926   |
+| 0.0           | 19.0  | 27531 | 0.0681          | 0.9460    | 0.9451 | 0.9456 | 0.9926   |
+| 0.0           | 20.0  | 28980 | 0.0630          | 0.9430    | 0.9430 | 0.9430 | 0.9925   |
+| 0.0           | 21.0  | 30429 | 0.0620          | 0.9445    | 0.9463 | 0.9454 | 0.9928   |
+| 0.0           | 22.0  | 31878 | 0.0671          | 0.9456    | 0.9446 | 0.9451 | 0.9926   |
+| 0.0           | 23.0  | 33327 | 0.0682          | 0.9479    | 0.9451 | 0.9465 | 0.9926   |
+| 0.0           | 24.0  | 34776 | 0.0671          | 0.9475    | 0.9466 | 0.9470 | 0.9927   |
+| 0.0           | 25.0  | 36225 | 0.0668          | 0.9473    | 0.9473 | 0.9473 | 0.9928   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.4.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "hfl/chinese-roberta-wwm-ext-large",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "B-LOC",
+    "2": "I-LOC",
+    "3": "B-ORG",
+    "4": "I-ORG",
+    "5": "B-PER",
+    "6": "I-PER"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "B-LOC": 1,
+    "B-ORG": 3,
+    "B-PER": 5,
+    "I-LOC": 2,
+    "I-ORG": 4,
+    "I-PER": 6,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

model.safetensors

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special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

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
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+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": 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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+size 5304