roberta-base-finetuned-mental-health

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

• eval_loss: 1.1394
• eval_accuracy: 0.8045
• eval_precision: 0.8066
• eval_recall: 0.8027
• eval_f1: 0.8033
• eval_runtime: 47.3811
• eval_samples_per_second: 36.386
• eval_steps_per_second: 2.279
• epoch: 7.0162
• step: 3024

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: 16
• eval_batch_size: 16
• 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: 10

Framework versions

• Transformers 4.53.3
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.2