flan-t5-large-da-multiwoz_250

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

• Loss: 0.3959
• Accuracy: 38.8681
• Num: 3689
• Gen Len: 15.6736

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
0.4158	0.93	200	0.4439	34.537	3689	15.8452
0.3487	1.86	400	0.4358	35.7656	3689	15.6495
0.3596	2.79	600	0.4304	35.4046	3689	14.8946
0.3676	3.72	800	0.4186	36.5036	3689	15.0016
0.4259	4.65	1000	0.4082	36.491	3689	15.4118
0.4005	5.58	1200	0.4039	37.4827	3689	15.8615
0.3922	6.51	1400	0.4009	38.1076	3689	15.4286
0.3656	7.44	1600	0.3998	38.8275	3689	15.7021
0.3709	8.37	1800	0.3959	38.8681	3689	15.6736
0.3564	9.3	2000	0.3981	38.6742	3689	15.8406

Framework versions

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