End of training

README.md

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+---
+base_model: gyr66/RoBERTa-ext-large-chinese-finetuned-ner
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RoBERTa-ext-large-lora-updated-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-updated-chinese-finetuned-ner
+
+This model is a fine-tuned version of [gyr66/RoBERTa-ext-large-chinese-finetuned-ner](https://huggingface.co/gyr66/RoBERTa-ext-large-chinese-finetuned-ner) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9586
+- Precision: 0.7016
+- Recall: 0.7518
+- F1: 0.7258
+- Accuracy: 0.9154
+
+## 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: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0034        | 1.0   | 252  | 1.0787          | 0.6753    | 0.7523 | 0.7117 | 0.9121   |
+| 0.0032        | 2.0   | 504  | 1.0376          | 0.6830    | 0.7490 | 0.7145 | 0.9141   |
+| 0.0018        | 3.0   | 756  | 1.0547          | 0.6731    | 0.7573 | 0.7127 | 0.9126   |
+| 0.0032        | 4.0   | 1008 | 1.0262          | 0.6829    | 0.7384 | 0.7096 | 0.9126   |
+| 0.0027        | 5.0   | 1260 | 0.9613          | 0.6898    | 0.7445 | 0.7161 | 0.9118   |
+| 0.0027        | 6.0   | 1512 | 0.9481          | 0.6780    | 0.7550 | 0.7145 | 0.9120   |
+| 0.0019        | 7.0   | 1764 | 0.9328          | 0.6917    | 0.7513 | 0.7203 | 0.9150   |
+| 0.0008        | 8.0   | 2016 | 0.9570          | 0.6976    | 0.7520 | 0.7238 | 0.9143   |
+| 0.0005        | 9.0   | 2268 | 0.9586          | 0.7016    | 0.7518 | 0.7258 | 0.9154   |
+| 0.0003        | 10.0  | 2520 | 0.9565          | 0.6945    | 0.7520 | 0.7221 | 0.9151   |
+
+
+### 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": "gyr66/RoBERTa-ext-large-chinese-finetuned-ner",
+  "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": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "value",
+    "query"
+  ],
+  "task_type": "TOKEN_CLS"
+}

adapter_model.safetensors

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+oid sha256:022c9f6e20322b250de8f15e86b738f10a90e728abbfb51af2012572e851544a
+size 1705460

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]",
+  "max_length": 512,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

training_args.bin

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