bert-base-uncased-finetuned-mol-mlm-0.3

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7383

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: 2e-05
• train_batch_size: 96
• eval_batch_size: 96
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	70	1.1518
No log	2.0	140	0.9808
1.2493	3.0	210	0.9117
1.2493	4.0	280	0.8540
1.2493	5.0	350	0.8172
0.8816	6.0	420	0.8098
0.8816	7.0	490	0.7758
0.8816	8.0	560	0.7625
0.7906	9.0	630	0.7569
0.7906	10.0	700	0.7460
0.7906	11.0	770	0.7504
0.7557	12.0	840	0.7353

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.10.1
• Tokenizers 0.13.3