End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: cointegrated/rubert-tiny2
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: results_synt_data
+  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. -->
+
+# results_synt_data
+
+This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1310
+- Precision: 0.7870
+- Recall: 0.8681
+- F1: 0.8256
+- Accuracy: 0.9644
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.061         | 1.0   | 2700  | 0.2892          | 0.4979    | 0.6620 | 0.5684 | 0.9082   |
+| 0.0426        | 2.0   | 5400  | 0.1871          | 0.6795    | 0.7840 | 0.7280 | 0.9438   |
+| 0.0321        | 3.0   | 8100  | 0.1526          | 0.7172    | 0.8293 | 0.7692 | 0.9519   |
+| 0.0257        | 4.0   | 10800 | 0.1382          | 0.7414    | 0.8407 | 0.7880 | 0.9566   |
+| 0.0211        | 5.0   | 13500 | 0.1359          | 0.7545    | 0.8477 | 0.7984 | 0.9587   |
+| 0.0182        | 6.0   | 16200 | 0.1300          | 0.7738    | 0.8581 | 0.8138 | 0.9620   |
+| 0.015         | 7.0   | 18900 | 0.1344          | 0.7811    | 0.8616 | 0.8194 | 0.9625   |
+| 0.0135        | 8.0   | 21600 | 0.1309          | 0.7810    | 0.8681 | 0.8223 | 0.9628   |
+| 0.0135        | 9.0   | 24300 | 0.1326          | 0.7881    | 0.8681 | 0.8261 | 0.9643   |
+| 0.0121        | 10.0  | 27000 | 0.1310          | 0.7870    | 0.8681 | 0.8256 | 0.9644   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "_name_or_path": "cointegrated/rubert-tiny2",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "emb_size": 312,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
+  "id2label": {
+    "0": "O",
+    "1": "B-GEOPOLIT",
+    "2": "I-GEOPOLIT",
+    "3": "B-LOC",
+    "4": "I-LOC",
+    "5": "B-ORG",
+    "6": "I-ORG",
+    "7": "B-PER",
+    "8": "I-PER"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 600,
+  "label2id": {
+    "B-GEOPOLIT": 1,
+    "B-LOC": 3,
+    "B-ORG": 5,
+    "B-PER": 7,
+    "I-GEOPOLIT": 2,
+    "I-LOC": 4,
+    "I-ORG": 6,
+    "I-PER": 8,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 83828
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2522f23c09ec1dfa27ec0f74648936c60dfaf174e53c83521c455168ea5dfad1
+size 116402084

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 2048,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "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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+size 5304