suicide-distilbert-extended-5-5

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9133
• Accuracy: {'accuracy': 0.3873050026896181}
• Precision: 0.3977
• Recall: 0.3873
• Fscore: 0.3793

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: 5.5e-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	Accuracy	Precision	Recall	Fscore
No log	1.0	349	1.4635	{'accuracy': 0.3442711135018827}	0.3793	0.3443	0.3050
1.4502	2.0	698	1.4143	{'accuracy': 0.3862291554599247}	0.3954	0.3862	0.3454
1.1938	3.0	1047	1.4696	{'accuracy': 0.399677245831092}	0.4354	0.3997	0.3775
1.1938	4.0	1396	1.7198	{'accuracy': 0.39483593329747174}	0.4181	0.3948	0.3799
0.714	5.0	1745	1.9133	{'accuracy': 0.3873050026896181}	0.3977	0.3873	0.3793

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0