metadata
base_model: dmis-lab/biobert-base-cased-v1.1
tags:
- generated_from_trainer
model-index:
- name: ontochem_biobert_half
results: []
ontochem_biobert_half
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0778
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 24 | 0.9696 |
| No log | 2.0 | 48 | 0.8620 |
| No log | 3.0 | 72 | 0.6842 |
| No log | 4.0 | 96 | 0.4193 |
| No log | 5.0 | 120 | 0.1765 |
| No log | 6.0 | 144 | 0.1210 |
| No log | 7.0 | 168 | 0.0996 |
| No log | 8.0 | 192 | 0.0849 |
| No log | 9.0 | 216 | 0.0770 |
| No log | 10.0 | 240 | 0.0739 |
| No log | 11.0 | 264 | 0.0739 |
| No log | 12.0 | 288 | 0.0731 |
| No log | 13.0 | 312 | 0.0751 |
| No log | 14.0 | 336 | 0.0778 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2