mi-roberta-base-finetuned-mental-illness

This model is a fine-tuned version of mavinsao/mi-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4035
• Accuracy: 0.8821
• F1: 0.8823

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: 1e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.56	1.0	2633	0.3954	0.8735	0.8746
0.36	2.0	5266	0.3840	0.8811	0.8815
0.2877	3.0	7899	0.4035	0.8821	0.8823

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2