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robbert_1210seed24

This model is a fine-tuned version of Tommert25/robbert_1210seed24 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3768
• eval_precisions: 0.8480
• eval_recall: 0.8144
• eval_f-measure: 0.8283
• eval_accuracy: 0.9436
• eval_runtime: 9.7846
• eval_samples_per_second: 82.477
• eval_steps_per_second: 5.212
• step: 0

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: 7.5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 14

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1