ontochem_biobert_cross_valid_4

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0427

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	0.0443
No log	2.0	10	0.0443
No log	3.0	15	0.0442
No log	4.0	20	0.0441
No log	5.0	25	0.0439
No log	6.0	30	0.0437
No log	7.0	35	0.0435
No log	8.0	40	0.0433
No log	9.0	45	0.0430
No log	10.0	50	0.0427

Framework versions

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