BATCH_SIZE=8

LEARNING_RATE=5e-05
MAX_LENGTH=512
FOLD=0

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

README.md

@@ -0,0 +1,76 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- null
+metrics:
+- accuracy
+model-index:
+- name: biobert-base-cased-v1.1-finetuned-pubmedqa
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.46
+---
+
+<!-- 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-base-cased-v1.1-finetuned-pubmedqa
+
+This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.1](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8824
+- Accuracy: 0.46
+
+## 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: 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   | 0.9643          | 0.54     |
+| No log        | 2.0   | 114  | 0.9745          | 0.54     |
+| No log        | 3.0   | 171  | 0.9266          | 0.54     |
+| No log        | 4.0   | 228  | 1.2575          | 0.58     |
+| No log        | 5.0   | 285  | 1.7315          | 0.54     |
+| No log        | 6.0   | 342  | 2.3958          | 0.54     |
+| No log        | 7.0   | 399  | 2.2061          | 0.6      |
+| No log        | 8.0   | 456  | 2.5503          | 0.52     |
+| 0.462         | 9.0   | 513  | 2.8652          | 0.46     |
+| 0.462         | 10.0  | 570  | 2.8824          | 0.46     |
+
+
+### Framework versions
+
+- Transformers 4.10.2
+- Pytorch 1.9.0+cu102
+- Datasets 1.11.0
+- Tokenizers 0.10.3

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "dmis-lab/biobert-base-cased-v1.1",
+  "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"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:864c2be915dc73fbacb98cc7183d2c85d7e3e38d4599fdde362f01e08c9cf257
+size 433334445

runs/Sep12_13-57-14_f78a04431978/1631455039.6600327/events.out.tfevents.1631455039.f78a04431978.87.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6f553cc62ff7d9c6360c78b11f7bb2be8547d86a3b9604fc1918751db50d8c9
+size 4219

runs/Sep12_13-57-14_f78a04431978/events.out.tfevents.1631455039.f78a04431978.87.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eff1975662f89204713cfab7ec3767ea5f08da2189df3831da4e7db635df274
+size 6821

special_tokens_map.json

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

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "dmis-lab/biobert-base-cased-v1.1", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dd3802ee2bc8de1c4a3c6fbf9df710e5cb087837aeae85cbd35bed809cd1fff
+size 2671