ontochem_biobert_300_1

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: 0.9781

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	5	1.1439
No log	2.0	10	1.1388
No log	3.0	15	1.1303
No log	4.0	20	1.1182
No log	5.0	25	1.1027
No log	6.0	30	1.0839
No log	7.0	35	1.0618
No log	8.0	40	1.0368
No log	9.0	45	1.0089
No log	10.0	50	0.9781

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2