bert-base-pubmed-multilabel

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2919
+- Precision: 0.8957
+- Recall: 0.8226
+- F1: 0.8576
+
+## 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: 0.0001
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.3611        | 0.2   | 500  | 0.3194          | 0.8640    | 0.8324 | 0.8479 |
+| 0.3106        | 0.4   | 1000 | 0.3039          | 0.8905    | 0.8013 | 0.8435 |
+| 0.3027        | 0.6   | 1500 | 0.2954          | 0.9022    | 0.7927 | 0.8439 |
+| 0.2952        | 0.81  | 2000 | 0.2864          | 0.8966    | 0.8185 | 0.8558 |
+| 0.2905        | 1.01  | 2500 | 0.2875          | 0.8973    | 0.8150 | 0.8542 |
+| 0.2605        | 1.21  | 3000 | 0.2841          | 0.8924    | 0.8369 | 0.8637 |
+| 0.2591        | 1.41  | 3500 | 0.2820          | 0.8926    | 0.8444 | 0.8678 |
+| 0.2574        | 1.61  | 4000 | 0.2826          | 0.8916    | 0.8359 | 0.8629 |
+| 0.2602        | 1.81  | 4500 | 0.2764          | 0.8989    | 0.8291 | 0.8626 |
+| 0.2561        | 2.01  | 5000 | 0.2813          | 0.8891    | 0.8454 | 0.8667 |
+| 0.2195        | 2.22  | 5500 | 0.2869          | 0.9072    | 0.8110 | 0.8564 |
+| 0.2209        | 2.42  | 6000 | 0.2845          | 0.9002    | 0.8216 | 0.8591 |
+| 0.2178        | 2.62  | 6500 | 0.2827          | 0.8991    | 0.8285 | 0.8624 |
+| 0.22          | 2.82  | 7000 | 0.2919          | 0.8957    | 0.8226 | 0.8576 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "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",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "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:a06932e2c368b294627c75a9a33ecf2c4f3e9c0055f8293f86bed0ebee8143e7
+size 437983256

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0ae2ea1ba18512ffd6ce823504249d54e1c08f32199ccf6231fa7d2778a8164
+size 4920