metadata
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: biobert-v1.1-BC2GM-NCBI-IOBES
results: []
biobert-v1.1-BC2GM-NCBI-IOBES
This model is a fine-tuned version of sujeongh/biobert-v1.1-BC2GM-IOBES on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3039
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.3332 | 1.0 | 1 | 0.3285 | 0.0357 | 0.0116 | 0.0175 |
| 0.3332 | 2.0 | 2 | 0.3154 | 0.0 | 0.0 | 0.0 |
| 0.3332 | 3.0 | 3 | 0.3076 | 0.0 | 0.0 | 0.0 |
| 0.3332 | 4.0 | 4 | 0.3039 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3