m_roberta_qa_model

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

• Loss: 3.1134

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	32	2.6082
No log	2.0	64	2.6972
No log	3.0	96	2.9758
No log	4.0	128	3.0284
No log	5.0	160	3.1134

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2