roberta-large_MBTI_F_MBTI_agg_balanced_50_1e-05

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roberta-large_MBTI_F_MBTI_agg_balanced_50_1e-05

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4386
• F1: 0.7445
• Threshold: 0.69
• F1 At 05: 0.7407

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
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 64
• total_eval_batch_size: 64
• 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
• lr_scheduler_warmup_steps: 400
• num_epochs: 5

Training results

Framework versions

• Transformers 5.3.0
• Pytorch 2.7.1
• Datasets 4.8.5
• Tokenizers 0.22.2