flan-t5-large-da-multiwoz2.0_80-new

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8043
• Accuracy: 35.9874
• Num: 3690
• Gen Len: 15.7702

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: 8
• eval_batch_size: 24
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
0.1444	5.48	400	0.7043	35.5433	3690	15.6268

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.5.1
• Tokenizers 0.12.1