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