End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: albert/albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: albert-base-v2-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. -->
+
+# albert-base-v2-grammar-ner
+
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1134
+- Accuracy: 0.9870
+- F1 Macro: 0.7941
+- F1 Micro: 0.9008
+- Precision Macro: 0.8789
+- Precision Micro: 0.9569
+- Recall Macro: 0.7518
+- Recall Micro: 0.8510
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
+| 0.4297        | 1.0   | 93   | 0.2896          | 0.9313   | 0.1318   | 0.4462   | 0.1897          | 0.5163          | 0.1281       | 0.3928       |
+| 0.2521        | 2.0   | 186  | 0.2192          | 0.9452   | 0.2315   | 0.5160   | 0.3282          | 0.6752          | 0.1962       | 0.4176       |
+| 0.167         | 3.0   | 279  | 0.1630          | 0.9662   | 0.3546   | 0.7198   | 0.4142          | 0.8358          | 0.3295       | 0.6321       |
+| 0.1026        | 4.0   | 372  | 0.1343          | 0.9733   | 0.4185   | 0.7769   | 0.5241          | 0.8732          | 0.3797       | 0.6998       |
+| 0.0718        | 5.0   | 465  | 0.1231          | 0.9738   | 0.4644   | 0.7794   | 0.5584          | 0.8525          | 0.4382       | 0.7178       |
+| 0.0483        | 6.0   | 558  | 0.1269          | 0.9778   | 0.4778   | 0.8204   | 0.6262          | 0.9415          | 0.4164       | 0.7269       |
+| 0.0335        | 7.0   | 651  | 0.1162          | 0.9804   | 0.6028   | 0.8416   | 0.6985          | 0.8834          | 0.5846       | 0.8036       |
+| 0.0233        | 8.0   | 744  | 0.1203          | 0.9813   | 0.5736   | 0.8475   | 0.7429          | 0.9496          | 0.4988       | 0.7652       |
+| 0.0171        | 9.0   | 837  | 0.1052          | 0.9836   | 0.6502   | 0.8671   | 0.7023          | 0.8964          | 0.6490       | 0.8397       |
+| 0.01          | 10.0  | 930  | 0.1125          | 0.9805   | 0.6681   | 0.8477   | 0.6854          | 0.8535          | 0.6875       | 0.8420       |
+| 0.0084        | 11.0  | 1023 | 0.1058          | 0.9862   | 0.7195   | 0.8894   | 0.8004          | 0.9287          | 0.6870       | 0.8533       |
+| 0.0051        | 12.0  | 1116 | 0.1092          | 0.9870   | 0.8015   | 0.9015   | 0.8810          | 0.95            | 0.7612       | 0.8578       |
+| 0.0031        | 13.0  | 1209 | 0.1131          | 0.9865   | 0.8006   | 0.8983   | 0.8827          | 0.9429          | 0.7592       | 0.8578       |
+| 0.0017        | 14.0  | 1302 | 0.1106          | 0.9873   | 0.8058   | 0.9039   | 0.8748          | 0.9525          | 0.7749       | 0.8600       |
+| 0.0012        | 15.0  | 1395 | 0.1111          | 0.9875   | 0.7985   | 0.9058   | 0.8818          | 0.9596          | 0.7576       | 0.8578       |
+| 0.0009        | 16.0  | 1488 | 0.1128          | 0.9870   | 0.7941   | 0.9008   | 0.8789          | 0.9569          | 0.7518       | 0.8510       |
+| 0.0008        | 17.0  | 1581 | 0.1133          | 0.9870   | 0.7941   | 0.9008   | 0.8789          | 0.9569          | 0.7518       | 0.8510       |
+| 0.0008        | 18.0  | 1674 | 0.1134          | 0.9870   | 0.7941   | 0.9008   | 0.8789          | 0.9569          | 0.7518       | 0.8510       |
+
+
+### 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": "albert/albert-base-v2",
+  "architectures": [
+    "AlbertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "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,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-R:ADJ": 30,
+    "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,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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