relation_extraction_bert_base_uncased

This model is a fine-tuned version of bert-base-uncased on sem_eval_2010_task_8. It achieves the following results on the evaluation set:

• Loss: 0.9300
• F1: 0.8616

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: 5e-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: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.2511	1.0	107	0.6098	0.7907
0.437	2.0	214	0.5167	0.8453
0.1921	3.0	321	0.5446	0.8553
0.0795	4.0	428	0.7041	0.8527
0.0334	5.0	535	0.7774	0.8568
0.0124	6.0	642	0.8086	0.8490
0.0056	7.0	749	0.8615	0.8601
0.003	8.0	856	0.9246	0.8614
0.0014	9.0	963	0.9300	0.8616
0.0011	10.0	1070	0.9421	0.8613

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0