chembert-cased-chemrxn-ner

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7054
• Precision: 0.4252
• Recall: 0.5123
• F1: 0.4647
• Accuracy: 0.7709

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: 8
• eval_batch_size: 8
• 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	Precision	Recall	F1	Accuracy
No log	1.0	51	0.8456	0.3258	0.2534	0.2851	0.7323
No log	2.0	102	0.7752	0.3252	0.3709	0.3466	0.7365
No log	3.0	153	0.7195	0.4039	0.4289	0.4160	0.7568
No log	4.0	204	0.7165	0.3990	0.4615	0.4280	0.7621
No log	5.0	255	0.7054	0.4252	0.5123	0.4647	0.7709

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1