flan-t5-base-da-multiwoz2.1_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: 0.4778
• Accuracy: 32.7769
• Num: 7365
• Gen Len: 16.4826

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
1.3467	20.0	200	0.5529	27.029	7365	15.8964
0.563	40.0	400	0.4906	30.8271	7365	16.614
0.4667	60.0	600	0.4778	32.7769	7365	16.4826
0.4221	80.0	800	0.4793	33.2596	7365	16.4266
0.4012	100.0	1000	0.4780	33.7326	7365	16.4459

Framework versions

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