Robbert_base23_old_7neg_kd

This model is a fine-tuned version of FremyCompany/roberta-base-nl-oscar23 on an unknown dataset.

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: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• 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: 2000
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.55.4
• Pytorch 2.7.1+cu128
• Datasets 4.0.0
• Tokenizers 0.21.4