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-generic
+  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-generic
+
+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: 0.0907
+- Accuracy: 0.9907
+- F1 Macro: 0.9282
+- F1 Micro: 0.9282
+- Precision Macro: 0.9686
+- Precision Micro: 0.9686
+- Recall Macro: 0.8910
+- Recall Micro: 0.8910
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
+| 0.2156        | 1.0   | 93   | 0.1656          | 0.9273   | 0.4389   | 0.4389   | 0.3873          | 0.3873          | 0.5064       | 0.5064       |
+| 0.136         | 2.0   | 186  | 0.1196          | 0.9611   | 0.5396   | 0.5396   | 0.8129          | 0.8129          | 0.4038       | 0.4038       |
+| 0.0885        | 3.0   | 279  | 0.0983          | 0.9673   | 0.7120   | 0.7120   | 0.7031          | 0.7031          | 0.7212       | 0.7212       |
+| 0.0585        | 4.0   | 372  | 0.0908          | 0.9760   | 0.7898   | 0.7898   | 0.8381          | 0.8381          | 0.7468       | 0.7468       |
+| 0.0406        | 5.0   | 465  | 0.0952          | 0.9723   | 0.7365   | 0.7365   | 0.8084          | 0.8084          | 0.6763       | 0.6763       |
+| 0.0323        | 6.0   | 558  | 0.0755          | 0.9826   | 0.8529   | 0.8529   | 0.87            | 0.87            | 0.8365       | 0.8365       |
+| 0.0228        | 7.0   | 651  | 0.0682          | 0.9858   | 0.8724   | 0.8724   | 0.8795          | 0.8795          | 0.8654       | 0.8654       |
+| 0.0127        | 8.0   | 744  | 0.0822          | 0.9866   | 0.8799   | 0.8799   | 0.9319          | 0.9319          | 0.8333       | 0.8333       |
+| 0.0107        | 9.0   | 837  | 0.0802          | 0.9879   | 0.9008   | 0.9008   | 0.9142          | 0.9142          | 0.8878       | 0.8878       |
+| 0.007         | 10.0  | 930  | 0.0866          | 0.9878   | 0.9042   | 0.9042   | 0.9505          | 0.9505          | 0.8622       | 0.8622       |
+| 0.0049        | 11.0  | 1023 | 0.0815          | 0.9884   | 0.9005   | 0.9005   | 0.9169          | 0.9169          | 0.8846       | 0.8846       |
+| 0.0045        | 12.0  | 1116 | 0.0931          | 0.9886   | 0.9082   | 0.9082   | 0.9477          | 0.9477          | 0.8718       | 0.8718       |
+| 0.003         | 13.0  | 1209 | 0.0926          | 0.9891   | 0.9195   | 0.9195   | 0.9648          | 0.9648          | 0.8782       | 0.8782       |
+| 0.0015        | 14.0  | 1302 | 0.0840          | 0.9900   | 0.9208   | 0.9208   | 0.9490          | 0.9490          | 0.8942       | 0.8942       |
+| 0.0009        | 15.0  | 1395 | 0.0895          | 0.9907   | 0.9280   | 0.9280   | 0.9719          | 0.9719          | 0.8878       | 0.8878       |
+| 0.0007        | 16.0  | 1488 | 0.0898          | 0.9907   | 0.9282   | 0.9282   | 0.9686          | 0.9686          | 0.8910       | 0.8910       |
+| 0.0005        | 17.0  | 1581 | 0.0903          | 0.9907   | 0.9282   | 0.9282   | 0.9686          | 0.9686          | 0.8910       | 0.8910       |
+| 0.0006        | 18.0  | 1674 | 0.0907          | 0.9907   | 0.9282   | 0.9282   | 0.9686          | 0.9686          | 0.8910       | 0.8910       |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_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": "I-ERROR",
+    "1": "O",
+    "2": "B-ERROR"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-ERROR": 2,
+    "I-ERROR": 0,
+    "O": 1
+  },
+  "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
+}

model.safetensors

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runs/Dec12_22-54-20_a365e7b9463b/events.out.tfevents.1734044060.a365e7b9463b.6288.12

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<eop>",
+    "<eod>"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<cls>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "<sep>",
+  "unk_token": "<unk>"
+}

spiece.model

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tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [
+    "<eop>",
+    "<eod>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<cls>",
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "keep_accents": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "<sep>",
+  "tokenizer_class": "XLNetTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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