ontochem_biobert_cross_valid_3

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

• Loss: 0.0526

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	0.0515
No log	2.0	10	0.0516
No log	3.0	15	0.0516
No log	4.0	20	0.0517
No log	5.0	25	0.0520
No log	6.0	30	0.0523
No log	7.0	35	0.0526
No log	8.0	40	0.0528
No log	9.0	45	0.0528
No log	10.0	50	0.0526

Framework versions

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