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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: blinding
+  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. -->
+
+# blinding
+
+This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7158
+- Accuracy: 0.6842
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 6.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9949        | 2.0   | 20   | 0.9573          | 0.4737   |
+| 0.5907        | 4.0   | 40   | 0.9047          | 0.5789   |
+| 0.2675        | 6.0   | 60   | 0.7158          | 0.6842   |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2

all_results.json

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+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.6842105388641357,
+    "eval_loss": 0.7158014178276062,
+    "eval_runtime": 0.6843,
+    "eval_samples": 19,
+    "eval_samples_per_second": 27.765,
+    "eval_steps_per_second": 2.923,
+    "train_loss": 0.617707633972168,
+    "train_runtime": 43.1317,
+    "train_samples": 75,
+    "train_samples_per_second": 10.433,
+    "train_steps_per_second": 1.391
+}

config.json

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+{
+  "_name_or_path": "michiyasunaga/BioLinkBERT-base",
+  "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": "blinded",
+    "1": "unblinded",
+    "2": "unknown"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "blinded": 0,
+    "unblinded": 1,
+    "unknown": 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": "4.26.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28895
+}

eval_results.json

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+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.6842105388641357,
+    "eval_loss": 0.7158014178276062,
+    "eval_runtime": 0.6843,
+    "eval_samples": 19,
+    "eval_samples_per_second": 27.765,
+    "eval_steps_per_second": 2.923
+}

pytorch_model.bin

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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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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "michiyasunaga/BioLinkBERT-base",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

train_results.json

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+{
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+    "train_loss": 0.617707633972168,
+    "train_runtime": 43.1317,
+    "train_samples": 75,
+    "train_samples_per_second": 10.433,
+    "train_steps_per_second": 1.391
+}

trainer_state.json

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+  "best_model_checkpoint": null,
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+  "global_step": 60,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 3.7037037037037037e-05,
+      "loss": 0.9949,
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+  "num_train_epochs": 6,
+  "total_flos": 118401037977600.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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