End of training

README.md

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+---
+license: apache-2.0
+base_model: hfl/chinese-roberta-wwm-ext-large
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RoBERTa-ext-large-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-large-lora-chinese-finetuned-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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4289
+- Precision: 0.6182
+- Recall: 0.7329
+- F1: 0.6707
+- Accuracy: 0.9114
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.4612        | 1.0   | 503  | 0.3536          | 0.4817    | 0.6412 | 0.5501 | 0.8948   |
+| 0.2925        | 2.0   | 1006 | 0.3259          | 0.5403    | 0.6772 | 0.6011 | 0.9022   |
+| 0.2391        | 3.0   | 1509 | 0.3211          | 0.5572    | 0.7301 | 0.6320 | 0.9053   |
+| 0.1966        | 4.0   | 2012 | 0.3287          | 0.5768    | 0.7238 | 0.6420 | 0.9099   |
+| 0.1644        | 5.0   | 2515 | 0.3531          | 0.5717    | 0.7362 | 0.6436 | 0.9056   |
+| 0.1312        | 6.0   | 3018 | 0.3542          | 0.5874    | 0.7158 | 0.6453 | 0.9084   |
+| 0.1067        | 7.0   | 3521 | 0.3878          | 0.5844    | 0.7266 | 0.6478 | 0.9072   |
+| 0.0862        | 8.0   | 4024 | 0.3956          | 0.6186    | 0.7304 | 0.6698 | 0.9116   |
+| 0.0681        | 9.0   | 4527 | 0.4100          | 0.6206    | 0.7261 | 0.6692 | 0.9118   |
+| 0.0595        | 10.0  | 5030 | 0.4289          | 0.6182    | 0.7329 | 0.6707 | 0.9114   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "hfl/chinese-roberta-wwm-ext-large",
+  "bias": "none",
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "TOKEN_CLS"
+}

adapter_model.safetensors

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+oid sha256:7bf8e11b3ee3dfcb4d85613fd669e659bdbaa99f72f330cae75c3342d604d4a3
+size 3278396

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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