t5-small-qg

This model is a fine-tuned version of t5-small on the the_squad_qg dataset. It achieves the following results on the evaluation set:

• Loss: 2.1544

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.3644	2.71	100	2.3436
2.4504	5.42	200	2.2140
2.3501	8.14	300	2.1544

Framework versions

• Transformers 4.27.3
• Pytorch 2.0.0
• Datasets 2.10.1
• Tokenizers 0.11.0