flan-t5-base-da-multiwoz2.0_80-loss-ep100

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

• Loss: 0.4747
• Accuracy: 33.008
• Num: 7358
• Gen Len: 16.5684

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: 60
• eval_batch_size: 400
• seed: 1799
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
1.3481	20.0	200	0.5537	26.9473	7358	15.6079
0.564	40.0	400	0.4902	31.3033	7358	16.6331
0.4647	60.0	600	0.4747	33.008	7358	16.5684
0.4171	80.0	800	0.4818	33.1704	7358	16.5529
0.4009	100.0	1000	0.4793	33.533	7358	16.4897

Framework versions

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