finetuned-roberta-base-squad2-model-for-insurance-data

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.8120

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: 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	22	2.4963
No log	2.0	44	2.4585
No log	3.0	66	2.4411
No log	4.0	88	2.4786
No log	5.0	110	2.6450
No log	6.0	132	2.6954
No log	7.0	154	2.7662
No log	8.0	176	2.8120

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3