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# SourceData_GENEPROD-ROLES_v_1-0-1_BioLinkBERT_large

This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the source_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0164
- Accuracy Score: 0.9938
- Precision: 0.9074
- Recall: 0.9154
- F1: 0.9114

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:|
| 0.0184        | 1.0   | 863  | 0.0164          | 0.9938         | 0.9074    | 0.9154 | 0.9114 |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0a0+bfe5ad2
- Datasets 2.10.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["source_data"], "metrics": ["precision", "recall", "f1"], "model-index": [{"name": "SourceData_GENEPROD-ROLES_v_1-0-1_BioLinkBERT_large", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "source_data", "type": "source_data", "args": "ROLES_GP"}, "metrics": [{"type": "precision", "value": 0.9073761540752506, "name": "Precision"}, {"type": "recall", "value": 0.9154188992939055, "name": "Recall"}, {"type": "f1", "value": 0.9113797831235199, "name": "F1"}]}]}]}
transformers pytorch bert token-classification generated_from_trainer dataset:source_data license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us