BATCH_SIZE=8

LEARNING_RATE=0.003
MAX_LENGTH=512
FOLD=0

.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- null
+metrics:
+- accuracy
+model_index:
+- name: biobert-v1.1-finetuned-pubmedqa-adapter
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    metric:
+      name: Accuracy
+      type: accuracy
+      value: 0.54
+---
+
+<!-- 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. -->
+
+# biobert-v1.1-finetuned-pubmedqa-adapter
+
+This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9581
+- Accuracy: 0.54
+
+## 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: 0.003
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 57   | 1.3413          | 0.36     |
+| No log        | 2.0   | 114  | 1.1254          | 0.54     |
+| No log        | 3.0   | 171  | 1.0072          | 0.54     |
+| No log        | 4.0   | 228  | 1.1034          | 0.54     |
+| No log        | 5.0   | 285  | 0.9814          | 0.54     |
+| No log        | 6.0   | 342  | 0.9629          | 0.54     |
+| No log        | 7.0   | 399  | 0.9859          | 0.54     |
+| No log        | 8.0   | 456  | 0.9761          | 0.54     |
+| 1.0093        | 9.0   | 513  | 0.9574          | 0.54     |
+| 1.0093        | 10.0  | 570  | 0.9581          | 0.54     |
+
+
+### Framework versions
+
+- Transformers 4.8.2
+- Pytorch 1.9.0+cu102
+- Datasets 1.11.0
+- Tokenizers 0.10.3

pubmedqa/adapter_config.json

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+{
+  "config": {
+    "adapter_residual_before_ln": false,
+    "cross_adapter": false,
+    "inv_adapter": null,
+    "inv_adapter_reduction_factor": null,
+    "leave_out": [],
+    "ln_after": false,
+    "ln_before": false,
+    "mh_adapter": false,
+    "non_linearity": "relu",
+    "original_ln_after": true,
+    "original_ln_before": true,
+    "output_adapter": true,
+    "reduction_factor": 16,
+    "residual_before_ln": true
+  },
+  "config_id": "9076f36a74755ac4",
+  "hidden_size": 768,
+  "model_class": "BertForSequenceClassification",
+  "model_name": "dmis-lab/biobert-v1.1",
+  "model_type": "bert",
+  "name": "pubmedqa"
+}

pubmedqa/head_config.json

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+{
+  "config": null,
+  "hidden_size": 768,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "model_class": "BertForSequenceClassification",
+  "model_name": "dmis-lab/biobert-v1.1",
+  "model_type": "bert",
+  "name": null,
+  "num_labels": 3
+}

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special_tokens_map.json

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tokenizer_config.json

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