End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: ner_model_ep_all
+  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. -->
+
+# ner_model_ep_all
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3739
+-  allergy Name F1: 0.7755
+-  allergy Name Pres: 0.76
+-  allergy Name Rec: 0.7917
+-  cancer F1: 0.7389
+-  cancer Pres: 0.7283
+-  cancer Rec: 0.7497
+-  chronic Disease F1: 0.7778
+-  chronic Disease Pres: 0.7676
+-  chronic Disease Rec: 0.7882
+-  treatment F1: 0.7918
+-  treatmen Prest: 0.7837
+-  treatment Rec: 0.7999
+- Over All Precision: 0.7698
+- Over All Recall: 0.7887
+- Over All F1: 0.7792
+- Over All Accuracy: 0.8803
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |  allergy Name F1 |  allergy Name Pres |  allergy Name Rec |  cancer F1 |  cancer Pres |  cancer Rec |  chronic Disease F1 |  chronic Disease Pres |  chronic Disease Rec |  treatment F1 |  treatmen Prest |  treatment Rec | Over All Precision | Over All Recall | Over All F1 | Over All Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:------------------:|:-----------------:|:----------:|:------------:|:-----------:|:-------------------:|:---------------------:|:--------------------:|:-------------:|:---------------:|:--------------:|:------------------:|:---------------:|:-----------:|:-----------------:|
+| 0.5174        | 1.0   | 1005 | 0.3949          | 0.7230           | 0.7710             | 0.6806            | 0.6254     | 0.6354       | 0.6158      | 0.6958              | 0.6914                | 0.7003               | 0.7376        | 0.7683          | 0.7093         | 0.7218             | 0.6925          | 0.7068      | 0.8570            |
+| 0.3297        | 2.0   | 2010 | 0.3664          | 0.7746           | 0.7857             | 0.7639            | 0.7133     | 0.7171       | 0.7095      | 0.7509              | 0.7746                | 0.7287               | 0.7738        | 0.7834          | 0.7643         | 0.7711             | 0.7444          | 0.7576      | 0.8732            |
+| 0.2691        | 3.0   | 3015 | 0.3585          | 0.7589           | 0.8364             | 0.6944            | 0.7415     | 0.7417       | 0.7412      | 0.7674              | 0.7754                | 0.7596               | 0.7819        | 0.7652          | 0.7994         | 0.7670             | 0.7748          | 0.7709      | 0.8780            |
+| 0.2278        | 4.0   | 4020 | 0.3686          | 0.7717           | 0.7878             | 0.7562            | 0.7400     | 0.7170       | 0.7645      | 0.7762              | 0.7717                | 0.7807               | 0.7885        | 0.7604          | 0.8188         | 0.7588             | 0.7965          | 0.7772      | 0.8795            |
+| 0.2038        | 5.0   | 5025 | 0.3739          | 0.7755           | 0.76               | 0.7917            | 0.7389     | 0.7283       | 0.7497      | 0.7778              | 0.7676                | 0.7882               | 0.7918        | 0.7837          | 0.7999         | 0.7698             | 0.7887          | 0.7792      | 0.8803            |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-treatment",
+    "2": "B-chronic_disease",
+    "3": "I-chronic_disease",
+    "4": "I-treatment",
+    "5": "B-cancer",
+    "6": "I-cancer",
+    "7": "B-allergy_name",
+    "8": "I-allergy_name"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-allergy_name": 7,
+    "B-cancer": 5,
+    "B-chronic_disease": 2,
+    "B-treatment": 1,
+    "I-allergy_name": 8,
+    "I-cancer": 6,
+    "I-chronic_disease": 3,
+    "I-treatment": 4,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Jul21_17-37-22_3f8ac3307322/events.out.tfevents.1721583442.3f8ac3307322.181.5

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "101": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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