chembert_cased-MLM-chemistry

This model is a fine-tuned version of jiangg/chembert_cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1485

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.6478	1.0	683	2.3777
2.4088	2.0	1366	2.2350
2.3112	3.0	2049	2.1976
2.2641	4.0	2732	2.1444
2.2392	5.0	3415	2.1437

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3