ontochem_biobert_1e-5_10epochs
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0438
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 48 | 0.8618 |
No log | 2.0 | 96 | 0.4396 |
No log | 3.0 | 144 | 0.1133 |
No log | 4.0 | 192 | 0.0651 |
No log | 5.0 | 240 | 0.0529 |
No log | 6.0 | 288 | 0.0477 |
No log | 7.0 | 336 | 0.0457 |
No log | 8.0 | 384 | 0.0434 |
No log | 9.0 | 432 | 0.0435 |
No log | 10.0 | 480 | 0.0438 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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