bert-base-uncased-MLM-scirepeval_fos_chemistry

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

• Loss: 2.0845

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: 16
• eval_batch_size: 16
• 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
2.5193	1.0	125	2.3321
2.3262	2.0	250	2.1409
2.2206	3.0	375	2.3090
2.1673	4.0	500	2.1725
2.1739	5.0	625	2.2304

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.13.2