flan-t5-large-da-multiwoz2.0_80-loss-ep50

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4604
• Accuracy: 33.2618
• Num: 7358
• Gen Len: 15.5321

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: 24
• eval_batch_size: 192
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
1.1359	8.0	200	0.4929	27.6197	7358	14.857
0.474	16.0	400	0.4604	33.2618	7358	15.5321
0.3764	24.0	600	0.4672	34.9136	7358	15.5559
0.323	32.0	800	0.4783	35.5058	7358	15.7635
0.2858	40.0	1000	0.5008	35.7085	7358	15.9337
0.2709	48.0	1200	0.5069	35.8528	7358	15.981

Framework versions

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