xlm-roberta-large_ALL_BCE_translated_data_multihead_19_shuffled_special_tokens_COMBINED

This model is a fine-tuned version of xlm-roberta-large on the None 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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 2024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.36.1
• Pytorch 2.1.0+cu121
• Datasets 2.13.1
• Tokenizers 0.15.0