minilm-uncased-squad2-finetuned-squad-12-trainedfor-3

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

• Loss: 0.6181

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: 5e-08
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.6694	1.0	578	0.6175
0.681	2.0	1156	0.6180
0.6829	3.0	1734	0.6181

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2