Training complete

README.md

@@ -0,0 +1,109 @@
+---
+base_model: alexyalunin/RuBioRoBERTa
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RuBioRoBERTa_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. -->
+
+# RuBioRoBERTa_pos
+
+This model is a fine-tuned version of [alexyalunin/RuBioRoBERTa](https://huggingface.co/alexyalunin/RuBioRoBERTa) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5510
+- Precision: 0.6388
+- Recall: 0.5954
+- F1: 0.6163
+- Accuracy: 0.9111
+
+## 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   | 0.6556          | 0.0       | 0.0    | 0.0    | 0.7611   |
+| No log        | 2.0   | 100  | 1.2213          | 0.0011    | 0.0019 | 0.0014 | 0.2513   |
+| No log        | 3.0   | 150  | 0.6117          | 0.0       | 0.0    | 0.0    | 0.7642   |
+| No log        | 4.0   | 200  | 0.5155          | 0.0135    | 0.0405 | 0.0203 | 0.7884   |
+| No log        | 5.0   | 250  | 0.4171          | 0.0697    | 0.1715 | 0.0991 | 0.8268   |
+| No log        | 6.0   | 300  | 0.3536          | 0.1054    | 0.1753 | 0.1317 | 0.8594   |
+| No log        | 7.0   | 350  | 0.3714          | 0.1638    | 0.2216 | 0.1884 | 0.8685   |
+| No log        | 8.0   | 400  | 0.2889          | 0.2477    | 0.3622 | 0.2942 | 0.8864   |
+| No log        | 9.0   | 450  | 0.2943          | 0.2799    | 0.3969 | 0.3283 | 0.8921   |
+| 0.452         | 10.0  | 500  | 0.2916          | 0.3823    | 0.4817 | 0.4263 | 0.9011   |
+| 0.452         | 11.0  | 550  | 0.3162          | 0.3329    | 0.4817 | 0.3937 | 0.8935   |
+| 0.452         | 12.0  | 600  | 0.3245          | 0.3629    | 0.4971 | 0.4195 | 0.9040   |
+| 0.452         | 13.0  | 650  | 0.3535          | 0.4022    | 0.4913 | 0.4423 | 0.9021   |
+| 0.452         | 14.0  | 700  | 0.3313          | 0.4161    | 0.5588 | 0.4770 | 0.9023   |
+| 0.452         | 15.0  | 750  | 0.3560          | 0.4210    | 0.5800 | 0.4878 | 0.9006   |
+| 0.452         | 16.0  | 800  | 0.3980          | 0.4125    | 0.6224 | 0.4962 | 0.8905   |
+| 0.452         | 17.0  | 850  | 0.3767          | 0.4820    | 0.6455 | 0.5519 | 0.9071   |
+| 0.452         | 18.0  | 900  | 0.3947          | 0.4605    | 0.6513 | 0.5395 | 0.9034   |
+| 0.452         | 19.0  | 950  | 0.4351          | 0.4395    | 0.5877 | 0.5029 | 0.9066   |
+| 0.0844        | 20.0  | 1000 | 0.3581          | 0.4931    | 0.5530 | 0.5213 | 0.9097   |
+| 0.0844        | 21.0  | 1050 | 0.4050          | 0.4892    | 0.6108 | 0.5433 | 0.9063   |
+| 0.0844        | 22.0  | 1100 | 0.4893          | 0.5504    | 0.5472 | 0.5488 | 0.9076   |
+| 0.0844        | 23.0  | 1150 | 0.4173          | 0.4722    | 0.6050 | 0.5304 | 0.9062   |
+| 0.0844        | 24.0  | 1200 | 0.4307          | 0.4819    | 0.6146 | 0.5402 | 0.9075   |
+| 0.0844        | 25.0  | 1250 | 0.3874          | 0.4977    | 0.6185 | 0.5515 | 0.9151   |
+| 0.0844        | 26.0  | 1300 | 0.4591          | 0.5478    | 0.6513 | 0.5951 | 0.9130   |
+| 0.0844        | 27.0  | 1350 | 0.3543          | 0.5308    | 0.5973 | 0.5621 | 0.9144   |
+| 0.0844        | 28.0  | 1400 | 0.4676          | 0.5380    | 0.5453 | 0.5416 | 0.9187   |
+| 0.0844        | 29.0  | 1450 | 0.4169          | 0.5365    | 0.6224 | 0.5763 | 0.9131   |
+| 0.0401        | 30.0  | 1500 | 0.4394          | 0.5867    | 0.5607 | 0.5734 | 0.9114   |
+| 0.0401        | 31.0  | 1550 | 0.4550          | 0.5446    | 0.6474 | 0.5915 | 0.9166   |
+| 0.0401        | 32.0  | 1600 | 0.4592          | 0.5415    | 0.6166 | 0.5766 | 0.9125   |
+| 0.0401        | 33.0  | 1650 | 0.5040          | 0.5218    | 0.6455 | 0.5771 | 0.9093   |
+| 0.0401        | 34.0  | 1700 | 0.4609          | 0.4295    | 0.6686 | 0.5230 | 0.8989   |
+| 0.0401        | 35.0  | 1750 | 0.6256          | 0.4833    | 0.6397 | 0.5506 | 0.8975   |
+| 0.0401        | 36.0  | 1800 | 0.4697          | 0.5742    | 0.6185 | 0.5955 | 0.9088   |
+| 0.0401        | 37.0  | 1850 | 0.5114          | 0.5645    | 0.6069 | 0.5850 | 0.9139   |
+| 0.0401        | 38.0  | 1900 | 0.5884          | 0.6237    | 0.5780 | 0.6    | 0.9088   |
+| 0.0401        | 39.0  | 1950 | 0.5022          | 0.5429    | 0.6455 | 0.5898 | 0.9135   |
+| 0.0328        | 40.0  | 2000 | 0.4154          | 0.6315    | 0.6339 | 0.6327 | 0.9202   |
+| 0.0328        | 41.0  | 2050 | 0.3940          | 0.5519    | 0.6146 | 0.5816 | 0.9145   |
+| 0.0328        | 42.0  | 2100 | 0.3374          | 0.5477    | 0.6301 | 0.5860 | 0.9120   |
+| 0.0328        | 43.0  | 2150 | 0.5907          | 0.5483    | 0.5029 | 0.5246 | 0.9041   |
+| 0.0328        | 44.0  | 2200 | 0.4235          | 0.5606    | 0.6416 | 0.5984 | 0.9145   |
+| 0.0328        | 45.0  | 2250 | 0.6646          | 0.0       | 0.0    | 0.0    | 0.7640   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "alexyalunin/RuBioRoBERTa",
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72a1889df9474822d2831d8f8571b6ed3ba5b3065fb2c690d19e1be66c26d1a1
+size 1417300884

runs/May07_01-03-13_4537e44771aa/events.out.tfevents.1715043794.4537e44771aa.34.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d4dbafbb407f21d036252f19157c4538f06a9f8662c277075003dd72f64026b
+size 27211

runs/May07_01-03-13_4537e44771aa/events.out.tfevents.1715045903.4537e44771aa.34.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d381e338ec31f17f017f5060ea6b7d91df0e36ea7ebc37cee0f366831ca209a
+size 560

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "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": true,
+    "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

@@ -0,0 +1,59 @@
+{
+  "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
+    },
+    "4": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "c": ".cache",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": false,
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:153e79bd93f1480ea7327802ca9e0a3fd64855b4a11a65c78b03a3a26d2e4dd3
+size 4920