bert-injury-classifier

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

• Loss: 0.6915
• Accuracy: 0.5298

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6676	1.0	19026	0.6635	0.6216
0.6915	2.0	38052	0.6915	0.5298
0.6924	3.0	57078	0.6915	0.5298

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.2
• Tokenizers 0.11.0