Training complete

README.md

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+---
+base_model: ai-forever/ruRoberta-large
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ruRoberta-large_pos
+  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. -->
+
+# ruRoberta-large_pos
+
+This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5140
+- Precision: 0.5566
+- Recall: 0.5871
+- F1: 0.5714
+- Accuracy: 0.8981
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 50   | 0.6582          | 0.0       | 0.0    | 0.0    | 0.7628   |
+| No log        | 2.0   | 100  | 0.5705          | 0.0118    | 0.0173 | 0.0140 | 0.7783   |
+| No log        | 3.0   | 150  | 0.4784          | 0.0277    | 0.0501 | 0.0356 | 0.8028   |
+| No log        | 4.0   | 200  | 0.4043          | 0.0784    | 0.1329 | 0.0986 | 0.8323   |
+| No log        | 5.0   | 250  | 0.3553          | 0.1545    | 0.2697 | 0.1965 | 0.8523   |
+| No log        | 6.0   | 300  | 0.4051          | 0.2312    | 0.2601 | 0.2448 | 0.8692   |
+| No log        | 7.0   | 350  | 0.3351          | 0.3456    | 0.3796 | 0.3618 | 0.8901   |
+| No log        | 8.0   | 400  | 0.2774          | 0.3344    | 0.3911 | 0.3606 | 0.8974   |
+| No log        | 9.0   | 450  | 0.3010          | 0.3819    | 0.5048 | 0.4349 | 0.9022   |
+| 0.3753        | 10.0  | 500  | 0.2892          | 0.4114    | 0.4875 | 0.4462 | 0.9051   |
+| 0.3753        | 11.0  | 550  | 0.2773          | 0.3707    | 0.5222 | 0.4336 | 0.9076   |
+| 0.3753        | 12.0  | 600  | 0.3447          | 0.4706    | 0.5549 | 0.5093 | 0.9076   |
+| 0.3753        | 13.0  | 650  | 0.3312          | 0.4317    | 0.5356 | 0.4781 | 0.9073   |
+| 0.3753        | 14.0  | 700  | 0.2870          | 0.4818    | 0.6378 | 0.5489 | 0.9132   |
+| 0.3753        | 15.0  | 750  | 0.3944          | 0.4443    | 0.5992 | 0.5103 | 0.9024   |
+| 0.3753        | 16.0  | 800  | 0.3599          | 0.4319    | 0.6416 | 0.5163 | 0.9018   |
+| 0.3753        | 17.0  | 850  | 0.3568          | 0.4560    | 0.6397 | 0.5325 | 0.9042   |
+| 0.3753        | 18.0  | 900  | 0.4296          | 0.4674    | 0.5241 | 0.4941 | 0.9106   |
+| 0.3753        | 19.0  | 950  | 0.3939          | 0.4617    | 0.5453 | 0.5    | 0.9137   |
+| 0.0842        | 20.0  | 1000 | 0.3882          | 0.5109    | 0.5434 | 0.5266 | 0.9066   |
+| 0.0842        | 21.0  | 1050 | 0.3870          | 0.5311    | 0.6243 | 0.5740 | 0.9075   |
+| 0.0842        | 22.0  | 1100 | 0.4163          | 0.4252    | 0.6628 | 0.5181 | 0.8925   |
+| 0.0842        | 23.0  | 1150 | 0.4097          | 0.4577    | 0.5010 | 0.4784 | 0.9004   |
+| 0.0842        | 24.0  | 1200 | 0.3709          | 0.5482    | 0.6031 | 0.5743 | 0.9161   |
+| 0.0842        | 25.0  | 1250 | 0.3366          | 0.5088    | 0.6647 | 0.5764 | 0.9141   |
+| 0.0842        | 26.0  | 1300 | 0.4558          | 0.6132    | 0.6108 | 0.6120 | 0.9171   |
+| 0.0842        | 27.0  | 1350 | 0.4982          | 0.5720    | 0.5896 | 0.5806 | 0.9102   |
+| 0.0842        | 28.0  | 1400 | 0.3998          | 0.5615    | 0.6513 | 0.6030 | 0.9178   |
+| 0.0842        | 29.0  | 1450 | 0.5028          | 0.5620    | 0.6551 | 0.6050 | 0.9108   |
+| 0.0476        | 30.0  | 1500 | 0.3672          | 0.5739    | 0.6435 | 0.6067 | 0.9117   |
+| 0.0476        | 31.0  | 1550 | 0.4520          | 0.5330    | 0.6532 | 0.5870 | 0.9084   |
+| 0.0476        | 32.0  | 1600 | 0.5027          | 0.5628    | 0.6127 | 0.5867 | 0.9101   |
+| 0.0476        | 33.0  | 1650 | 0.4461          | 0.4581    | 0.6108 | 0.5235 | 0.9087   |
+| 0.0476        | 34.0  | 1700 | 0.4407          | 0.4726    | 0.5992 | 0.5285 | 0.9070   |
+| 0.0476        | 35.0  | 1750 | 0.4512          | 0.5211    | 0.5241 | 0.5226 | 0.9082   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "ai-forever/ruRoberta-large",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 1,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "B-symp",
+    "2": "I-symp"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "0": "O",
+    "1": "B-symp",
+    "2": "I-symp"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "4": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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