sv4.2-bigbird-roberta-large

This model is a fine-tuned version of google/bigbird-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7374
• Mse: 0.5717
• Mae: 0.7374
• Rmse: 0.7561

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: 1e-07
• train_batch_size: 12
• eval_batch_size: 6
• seed: 42
• 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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	Rmse
0.3125	0.4651	100	0.7941	0.6568	0.7941	0.8104
0.245	0.9302	200	0.7620	0.6080	0.7620	0.7797
0.2556	1.3953	300	0.7446	0.5823	0.7446	0.7631
0.2506	1.8605	400	0.7374	0.5717	0.7374	0.7561

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu126
• Datasets 3.3.2
• Tokenizers 0.21.0