ontochem_biobert_v2
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: 0.0312
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 96 | 0.6038 |
| No log | 2.0 | 192 | 0.0551 |
| No log | 3.0 | 288 | 0.0369 |
| No log | 4.0 | 384 | 0.0338 |
| No log | 5.0 | 480 | 0.0307 |
| 0.2606 | 6.0 | 576 | 0.0312 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for oleshy/ontochem_biobert_v2
Base model
dmis-lab/biobert-base-cased-v1.1