bert-base-chinese-finetuned-fdRE

This model is a fine-tuned version of bert-base-chinese on the sem_eval2010_task8 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2716
• Accuracy: 0.9081

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: 10
• eval_batch_size: 10
• 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	Accuracy
No log	1.0	46	0.5571	0.7812
No log	2.0	92	0.4030	0.8621
No log	3.0	138	0.3139	0.8928
No log	4.0	184	0.2716	0.9081
No log	5.0	230	0.2564	0.9081

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6