my_awesome_qa_model

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: 1.0044

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	21	0.4687
No log	2.0	42	0.5886
No log	3.0	63	0.6614
No log	4.0	84	0.6629
No log	5.0	105	0.8131
No log	6.0	126	1.1301
No log	7.0	147	0.9610
No log	8.0	168	1.0402
No log	9.0	189	1.0127
No log	10.0	210	1.0044

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0