Suicidal-Risk-Analysis-DistilBert-base-uncased

This model is a fine-tuned version of gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5168
• Accuracy: 0.8384

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4205	1.0	659	0.3784	0.8346
0.2791	2.0	1318	0.3904	0.8456
0.1506	3.0	1977	0.5168	0.8384

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0