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

Zekunli/flan-t5-large-da-multiwoz2.0_80

flan-t5-large-da-multiwoz2.0_80 is a machine learning model from Zekunli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Feb 22, 2023
Updated: Feb 25, 2023
SHA: 273f9c84

Model card

From the Hugging Face model README

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

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

Loss: 0.5551
Accuracy: 35.4652
Num: 3690
Gen Len: 15.7705

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
0.12	2.74	200	0.7870	33.7402	3690	15.8558
0.0847	5.48	400	0.9485	33.645	3690	15.6314
0.1028	8.22	600	0.7984	33.9271	3690	15.8528
0.1534	10.96	800	0.7475	33.5491	3690	16.007
0.166	13.7	1000	0.6798	34.529	3690	15.7453
0.277	16.44	1200	0.5577	35.1295	3690	15.5201
0.2561	19.18	1400	0.5551	35.4652	3690	15.7705

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: t5
Created: Feb 22, 2023
Updated: Feb 25, 2023