---
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ddi_42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ddi_42

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: 0.2816
- Accuracy: 0.9535

## 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: 32
- eval_batch_size: 256
- 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   | 791  | 0.1755          | 0.9411   |
| 0.2029        | 2.0   | 1582 | 0.1931          | 0.9495   |
| 0.0749        | 3.0   | 2373 | 0.2716          | 0.9475   |
| 0.0442        | 4.0   | 3164 | 0.2566          | 0.9515   |
| 0.0442        | 5.0   | 3955 | 0.2816          | 0.9535   |
| 0.0249        | 6.0   | 4746 | 0.3136          | 0.9471   |
| 0.0135        | 7.0   | 5537 | 0.3219          | 0.9475   |
| 0.0102        | 8.0   | 6328 | 0.3054          | 0.9503   |
| 0.006         | 9.0   | 7119 | 0.3304          | 0.9515   |
| 0.006         | 10.0  | 7910 | 0.3346          | 0.9507   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2