Togo

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0002

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2	0.0038
No log	2.0	4	0.0003
No log	3.0	6	0.0003
No log	4.0	8	0.0002

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.1
• Datasets 3.1.0
• Tokenizers 0.20.0