finetune_rugec_Ae

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2364
• eval_model_preparation_time: 4.0579
• eval_runtime: 81.2432
• eval_samples_per_second: 61.544
• eval_steps_per_second: 0.972
• 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: 3e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use 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: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.48.1
• Pytorch 2.5.1+cu124
• Datasets 3.0.1
• Tokenizers 0.21.0