bert_qa_model_electronics_1

This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the subjqa dataset. It achieves the following results on the evaluation set:

• Loss: 11.8500

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	11.5214
No log	2.0	64	11.1691
No log	3.0	96	11.6369
No log	4.0	128	11.7854
No log	5.0	160	11.8500

Framework versions

• Transformers 4.28.0
• Pytorch 1.13.0a0+d321be6
• Datasets 2.12.0
• Tokenizers 0.13.3