Training complete

README.md

@@ -0,0 +1,106 @@
+---
+base_model: alexyalunin/RuBioRoBERTa
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: RuBioRoBERTa_neg
+  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_neg
+
+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: 0.5876
+- Precision: 0.584
+- Recall: 0.6053
+- F1: 0.5945
+- Accuracy: 0.9040
+
+## 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   | 0.6516          | 0.0       | 0.0    | 0.0    | 0.7729   |
+| No log        | 2.0   | 100  | 0.6625          | 0.0       | 0.0    | 0.0    | 0.7706   |
+| No log        | 3.0   | 150  | 0.5142          | 0.0081    | 0.0058 | 0.0068 | 0.7944   |
+| No log        | 4.0   | 200  | 0.4359          | 0.0788    | 0.1464 | 0.1024 | 0.8281   |
+| No log        | 5.0   | 250  | 0.3580          | 0.2362    | 0.3141 | 0.2696 | 0.8642   |
+| No log        | 6.0   | 300  | 0.3419          | 0.2819    | 0.3237 | 0.3013 | 0.8762   |
+| No log        | 7.0   | 350  | 0.3492          | 0.35      | 0.3642 | 0.3569 | 0.8841   |
+| No log        | 8.0   | 400  | 0.2633          | 0.3549    | 0.4432 | 0.3942 | 0.8982   |
+| No log        | 9.0   | 450  | 0.2819          | 0.3871    | 0.4624 | 0.4214 | 0.9001   |
+| 0.4095        | 10.0  | 500  | 0.2522          | 0.5035    | 0.5491 | 0.5253 | 0.9119   |
+| 0.4095        | 11.0  | 550  | 0.2831          | 0.4704    | 0.5511 | 0.5075 | 0.9077   |
+| 0.4095        | 12.0  | 600  | 0.3013          | 0.5245    | 0.6185 | 0.5676 | 0.9105   |
+| 0.4095        | 13.0  | 650  | 0.3070          | 0.4711    | 0.6127 | 0.5327 | 0.9048   |
+| 0.4095        | 14.0  | 700  | 0.3398          | 0.4771    | 0.6416 | 0.5472 | 0.9039   |
+| 0.4095        | 15.0  | 750  | 0.3275          | 0.4661    | 0.6224 | 0.5330 | 0.9114   |
+| 0.4095        | 16.0  | 800  | 0.3730          | 0.5118    | 0.6281 | 0.5640 | 0.9141   |
+| 0.4095        | 17.0  | 850  | 0.3847          | 0.5593    | 0.6358 | 0.5951 | 0.9160   |
+| 0.4095        | 18.0  | 900  | 0.4070          | 0.5824    | 0.6262 | 0.6035 | 0.9182   |
+| 0.4095        | 19.0  | 950  | 0.3583          | 0.5433    | 0.6281 | 0.5827 | 0.9161   |
+| 0.0776        | 20.0  | 1000 | 0.3096          | 0.5152    | 0.5877 | 0.5491 | 0.9154   |
+| 0.0776        | 21.0  | 1050 | 0.4015          | 0.5669    | 0.6204 | 0.5925 | 0.9224   |
+| 0.0776        | 22.0  | 1100 | 0.5603          | 0.4251    | 0.6667 | 0.5191 | 0.8753   |
+| 0.0776        | 23.0  | 1150 | 0.3353          | 0.6220    | 0.6089 | 0.6154 | 0.9230   |
+| 0.0776        | 24.0  | 1200 | 0.3800          | 0.6133    | 0.6204 | 0.6169 | 0.9254   |
+| 0.0776        | 25.0  | 1250 | 0.4451          | 0.5792    | 0.6127 | 0.5955 | 0.9153   |
+| 0.0776        | 26.0  | 1300 | 0.4639          | 0.6060    | 0.6224 | 0.6141 | 0.9220   |
+| 0.0776        | 27.0  | 1350 | 0.4141          | 0.5574    | 0.6647 | 0.6063 | 0.9194   |
+| 0.0776        | 28.0  | 1400 | 0.4258          | 0.5675    | 0.6397 | 0.6014 | 0.9143   |
+| 0.0776        | 29.0  | 1450 | 0.4131          | 0.5880    | 0.6435 | 0.6145 | 0.9193   |
+| 0.0374        | 30.0  | 1500 | 0.4104          | 0.5823    | 0.6609 | 0.6191 | 0.9200   |
+| 0.0374        | 31.0  | 1550 | 0.4047          | 0.6190    | 0.6667 | 0.6419 | 0.9213   |
+| 0.0374        | 32.0  | 1600 | 0.4615          | 0.6233    | 0.6185 | 0.6209 | 0.9205   |
+| 0.0374        | 33.0  | 1650 | 0.4597          | 0.6430    | 0.5934 | 0.6172 | 0.9169   |
+| 0.0374        | 34.0  | 1700 | 0.3851          | 0.5043    | 0.6821 | 0.5799 | 0.9040   |
+| 0.0374        | 35.0  | 1750 | 0.3989          | 0.6241    | 0.6590 | 0.6410 | 0.9206   |
+| 0.0374        | 36.0  | 1800 | 0.4866          | 0.5710    | 0.6667 | 0.6151 | 0.9156   |
+| 0.0374        | 37.0  | 1850 | 0.4198          | 0.6208    | 0.6339 | 0.6273 | 0.9241   |
+| 0.0374        | 38.0  | 1900 | 0.4526          | 0.5615    | 0.6243 | 0.5912 | 0.9164   |
+| 0.0374        | 39.0  | 1950 | 0.5038          | 0.6149    | 0.6031 | 0.6089 | 0.9187   |
+| 0.0337        | 40.0  | 2000 | 0.3879          | 0.5684    | 0.6243 | 0.5950 | 0.9196   |
+| 0.0337        | 41.0  | 2050 | 0.5178          | 0.5913    | 0.6301 | 0.6101 | 0.9170   |
+| 0.0337        | 42.0  | 2100 | 0.4898          | 0.6558    | 0.5838 | 0.6177 | 0.9155   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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": "4.40.1",
+  "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 sha256:73ab10762155c13d41515fc58ea9cc6c4538f9534b0cfe06c7c6709305fa92fa
+size 1417300884

runs/May07_01-20-01_7d25fd5318e7/events.out.tfevents.1715044802.7d25fd5318e7.271.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b00337820814463ba6384614d8f0145e077ef31f960bd3da7b560d80aaea39b
+size 25890

runs/May07_01-20-01_7d25fd5318e7/events.out.tfevents.1715047956.7d25fd5318e7.271.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09c92caacdcad9989552d55fcc7e242c8a827129ada171894d79a5cce97b4f9e
+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 sha256:1e3f75d8378dd7b093e93a9fe93809d61eefa2ba36b0c279319744dff03c08cf
+size 4984