tmp_trainer

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

• eval_loss: 0.7463
• eval_model_preparation_time: 0.0036
• eval_accuracy: 0.49
• eval_precision: 0.0577
• eval_recall: 0.6
• eval_f1: 0.1053
• eval_runtime: 18.6792
• eval_samples_per_second: 5.354
• eval_steps_per_second: 0.696
• 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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 5.2.0
• Pytorch 2.9.1+cu128
• Datasets 4.5.0
• Tokenizers 0.22.1