End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: xlnet-base-cased-grammar-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. -->
+
+# xlnet-base-cased-grammar-ner
+
+This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1027
+- Accuracy: 0.9879
+- F1 Macro: 0.7899
+- F1 Micro: 0.9048
+- Precision Macro: 0.8321
+- Precision Micro: 0.9436
+- Recall Macro: 0.7769
+- Recall Micro: 0.8691
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Use 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: 18
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | Precision Macro | Precision Micro | Recall Macro | Recall Micro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
+| 0.3654        | 1.0   | 93   | 0.2315          | 0.9329   | 0.2241   | 0.4091   | 0.2338          | 0.5016          | 0.2436       | 0.3454       |
+| 0.1834        | 2.0   | 186  | 0.1603          | 0.9627   | 0.2982   | 0.6748   | 0.4007          | 0.8441          | 0.2733       | 0.5621       |
+| 0.1161        | 3.0   | 279  | 0.1472          | 0.9649   | 0.4016   | 0.7249   | 0.4585          | 0.7494          | 0.3910       | 0.7020       |
+| 0.0764        | 4.0   | 372  | 0.1233          | 0.9739   | 0.4844   | 0.7783   | 0.5824          | 0.8346          | 0.4487       | 0.7291       |
+| 0.0561        | 5.0   | 465  | 0.1224          | 0.9738   | 0.4467   | 0.7792   | 0.5923          | 0.8650          | 0.4044       | 0.7088       |
+| 0.0423        | 6.0   | 558  | 0.1135          | 0.9799   | 0.6021   | 0.8375   | 0.6885          | 0.8825          | 0.5619       | 0.7968       |
+| 0.0319        | 7.0   | 651  | 0.0987          | 0.9820   | 0.6386   | 0.8541   | 0.6928          | 0.8841          | 0.6342       | 0.8262       |
+| 0.0221        | 8.0   | 744  | 0.1034          | 0.9836   | 0.6463   | 0.8623   | 0.7605          | 0.9184          | 0.6045       | 0.8126       |
+| 0.0175        | 9.0   | 837  | 0.0984          | 0.9852   | 0.6852   | 0.8794   | 0.7154          | 0.9045          | 0.6849       | 0.8555       |
+| 0.0094        | 10.0  | 930  | 0.0985          | 0.9865   | 0.6985   | 0.8936   | 0.7434          | 0.9272          | 0.6914       | 0.8623       |
+| 0.0078        | 11.0  | 1023 | 0.0987          | 0.9858   | 0.7314   | 0.8876   | 0.7563          | 0.9119          | 0.7406       | 0.8646       |
+| 0.0056        | 12.0  | 1116 | 0.1051          | 0.9868   | 0.7501   | 0.8923   | 0.7955          | 0.9270          | 0.7410       | 0.8600       |
+| 0.0047        | 13.0  | 1209 | 0.1027          | 0.9866   | 0.7606   | 0.8936   | 0.8116          | 0.9272          | 0.7469       | 0.8623       |
+| 0.0031        | 14.0  | 1302 | 0.1009          | 0.9866   | 0.7762   | 0.8953   | 0.8034          | 0.9233          | 0.7769       | 0.8691       |
+| 0.0027        | 15.0  | 1395 | 0.1008          | 0.9873   | 0.7763   | 0.8995   | 0.8073          | 0.9322          | 0.7769       | 0.8691       |
+| 0.002         | 16.0  | 1488 | 0.1034          | 0.9884   | 0.7939   | 0.9067   | 0.8590          | 0.9505          | 0.7591       | 0.8668       |
+| 0.0015        | 17.0  | 1581 | 0.1020          | 0.9881   | 0.7925   | 0.9059   | 0.8362          | 0.9459          | 0.7769       | 0.8691       |
+| 0.0016        | 18.0  | 1674 | 0.1027          | 0.9879   | 0.7899   | 0.9048   | 0.8321          | 0.9436          | 0.7769       | 0.8691       |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,147 @@
+{
+  "_name_or_path": "xlnet/xlnet-base-cased",
+  "architectures": [
+    "XLNetForTokenClassification"
+  ],
+  "attn_type": "bi",
+  "bi_data": false,
+  "bos_token_id": 1,
+  "clamp_len": -1,
+  "d_head": 64,
+  "d_inner": 3072,
+  "d_model": 768,
+  "dropout": 0.1,
+  "end_n_top": 5,
+  "eos_token_id": 2,
+  "ff_activation": "gelu",
+  "id2label": {
+    "0": "B-U:PREP",
+    "1": "I-U:VERB:TENSE",
+    "2": "I-R:NOUN:INFL",
+    "3": "I-R:VERB:TENSE",
+    "4": "I-R:WO",
+    "5": "I-U:OTHER",
+    "6": "B-U:VERB",
+    "7": "B-R:VERB:INFL",
+    "8": "I-R:VERB:INFL",
+    "9": "B-R:VERB:SVA",
+    "10": "B-U:NOUN",
+    "11": "B-R:PREP",
+    "12": "I-U:NOUN",
+    "13": "B-U:CONJ",
+    "14": "I-R:PUNCT",
+    "15": "B-R:SPELL",
+    "16": "B-U:PRON",
+    "17": "I-R:SPELL",
+    "18": "B-R:WO",
+    "19": "I-R:MORPH",
+    "20": "B-R:VERB:TENSE",
+    "21": "B-R:NOUN",
+    "22": "I-R:OTHER",
+    "23": "B-U:DET",
+    "24": "B-U:PART",
+    "25": "B-R:ADV",
+    "26": "I-R:VERB:SVA",
+    "27": "I-R:DET",
+    "28": "B-R:NOUN:NUM",
+    "29": "O",
+    "30": "B-R:ADJ",
+    "31": "B-U:VERB:TENSE",
+    "32": "B-R:PRON",
+    "33": "I-U:VERB",
+    "34": "I-R:ADV",
+    "35": "I-R:VERB:FORM",
+    "36": "B-R:OTHER",
+    "37": "B-U:VERB:FORM",
+    "38": "B-U:ADV",
+    "39": "B-R:NOUN:INFL",
+    "40": "B-R:PART",
+    "41": "B-U:OTHER",
+    "42": "I-R:VERB",
+    "43": "B-R:PUNCT",
+    "44": "B-R:VERB",
+    "45": "B-R:DET",
+    "46": "B-R:MORPH",
+    "47": "I-R:NOUN",
+    "48": "B-R:VERB:FORM",
+    "49": "B-R:ADJ:FORM"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
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+    "B-R:ADJ:FORM": 49,
+    "B-R:ADV": 25,
+    "B-R:DET": 45,
+    "B-R:MORPH": 46,
+    "B-R:NOUN": 21,
+    "B-R:NOUN:INFL": 39,
+    "B-R:NOUN:NUM": 28,
+    "B-R:OTHER": 36,
+    "B-R:PART": 40,
+    "B-R:PREP": 11,
+    "B-R:PRON": 32,
+    "B-R:PUNCT": 43,
+    "B-R:SPELL": 15,
+    "B-R:VERB": 44,
+    "B-R:VERB:FORM": 48,
+    "B-R:VERB:INFL": 7,
+    "B-R:VERB:SVA": 9,
+    "B-R:VERB:TENSE": 20,
+    "B-R:WO": 18,
+    "B-U:ADV": 38,
+    "B-U:CONJ": 13,
+    "B-U:DET": 23,
+    "B-U:NOUN": 10,
+    "B-U:OTHER": 41,
+    "B-U:PART": 24,
+    "B-U:PREP": 0,
+    "B-U:PRON": 16,
+    "B-U:VERB": 6,
+    "B-U:VERB:FORM": 37,
+    "B-U:VERB:TENSE": 31,
+    "I-R:ADV": 34,
+    "I-R:DET": 27,
+    "I-R:MORPH": 19,
+    "I-R:NOUN": 47,
+    "I-R:NOUN:INFL": 2,
+    "I-R:OTHER": 22,
+    "I-R:PUNCT": 14,
+    "I-R:SPELL": 17,
+    "I-R:VERB": 42,
+    "I-R:VERB:FORM": 35,
+    "I-R:VERB:INFL": 8,
+    "I-R:VERB:SVA": 26,
+    "I-R:VERB:TENSE": 3,
+    "I-R:WO": 4,
+    "I-U:NOUN": 12,
+    "I-U:OTHER": 5,
+    "I-U:VERB": 33,
+    "I-U:VERB:TENSE": 1,
+    "O": 29
+  },
+  "layer_norm_eps": 1e-12,
+  "mem_len": null,
+  "model_type": "xlnet",
+  "n_head": 12,
+  "n_layer": 12,
+  "pad_token_id": 5,
+  "reuse_len": null,
+  "same_length": false,
+  "start_n_top": 5,
+  "summary_activation": "tanh",
+  "summary_last_dropout": 0.1,
+  "summary_type": "last",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 250
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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tokenizer_config.json

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