ontochem_biobert_1e-5_10epochs_v2

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: 0.0428

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	0.9247
No log	2.0	96	0.4733
No log	3.0	144	0.1217
No log	4.0	192	0.0692
No log	5.0	240	0.0546
No log	6.0	288	0.0487
No log	7.0	336	0.0461
No log	8.0	384	0.0445
No log	9.0	432	0.0447
No log	10.0	480	0.0428

Framework versions

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