task-t1

README.md

@@ -0,0 +1,76 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: task-t1
+  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. -->
+
+# task-t1
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4146
+- F1: 0.7293
+- Chronic Disease F1: 0.7306
+- Chronic Disease Num: 2537
+- Cancer F1: 0.7151
+- Cancer Num: 880
+- Allergy F1: 0.6551
+- Allergy Num: 219
+- Treatment F1: 0.7365
+- Treatment Num: 3197
+- Other F1: 0
+- Other Num: 0
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Chronic Disease F1 | Chronic Disease Num | Cancer F1 | Cancer Num | Allergy F1 | Allergy Num | Treatment F1 | Treatment Num | Other F1 | Other Num |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------------------:|:-------------------:|:---------:|:----------:|:----------:|:-----------:|:------------:|:-------------:|:--------:|:---------:|
+| 1.0109        | 0.2717 | 100  | 0.6744          | 0.4452 | 0.4017             | 2537                | 0.0448    | 880        | 0.0        | 219         | 0.5504       | 3197          | 0        | 0         |
+| 0.5833        | 0.5435 | 200  | 0.4954          | 0.6268 | 0.6392             | 2537                | 0.5937    | 880        | 0.0        | 219         | 0.6459       | 3197          | 0        | 0         |
+| 0.4668        | 0.8152 | 300  | 0.4519          | 0.6782 | 0.6951             | 2537                | 0.6396    | 880        | 0.0359     | 219         | 0.6962       | 3197          | 0        | 0         |
+| 0.4275        | 1.0870 | 400  | 0.4314          | 0.7046 | 0.7102             | 2537                | 0.6883    | 880        | 0.5127     | 219         | 0.7138       | 3197          | 0        | 0         |
+| 0.3483        | 1.3587 | 500  | 0.4282          | 0.7181 | 0.7212             | 2537                | 0.7078    | 880        | 0.6469     | 219         | 0.7226       | 3197          | 0        | 0         |
+| 0.3334        | 1.6304 | 600  | 0.4126          | 0.7293 | 0.7313             | 2537                | 0.7170    | 880        | 0.6683     | 219         | 0.7349       | 3197          | 0        | 0         |
+| 0.3249        | 1.9022 | 700  | 0.4146          | 0.7293 | 0.7306             | 2537                | 0.7151    | 880        | 0.6551     | 219         | 0.7365       | 3197          | 0        | 0         |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,52 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-treatment",
+    "2": "I-treatment",
+    "3": "B-chronic_disease",
+    "4": "I-chronic_disease",
+    "5": "B-cancer",
+    "6": "I-cancer",
+    "7": "B-allergy",
+    "8": "I-allergy",
+    "9": "B-other",
+    "10": "I-other"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-allergy_name": 7,
+    "B-cancer": 5,
+    "B-chronic_disease": 3,
+    "B-other": 9,
+    "B-treatment": 1,
+    "I-allergy_name": 8,
+    "I-cancer": 6,
+    "I-chronic_disease": 4,
+    "I-other": 10,
+    "I-treatment": 2,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8aecb6bb1a911f45c37ae4486d9faf028521471b35e2d578ac41cdb2d6b4f32
+size 435623772

runs/Jul21_06-31-49_5891dff67884/events.out.tfevents.1721543515.5891dff67884.2327.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68a806c460b88ab5cbf4fff29a78ab90243df8f15aa1fd317cb3a0ef79c7bd7a
+size 13268

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "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
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:976cd7bfc6394568a3062d7133e01b6a540ff647dbca23911c1a14ec14858ee9
+size 5112