mc-bart-base-mqa-fine-tune

This model is a fine-tuned version of facebook/bart-base on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 0.8651

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-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: 1.8

Training results

Training Loss	Epoch	Step	Validation Loss
0.6673	0.59	10000	0.8870
0.6969	1.18	20000	0.8651
0.6298	1.77	30000	0.8651

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1