flan-t5-large-da-multiwoz2.0_800-new

Zekunli/flan-t5-large-da-multiwoz2.0_800-new

flan-t5-large-da-multiwoz2.0_800-new 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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Hugging Face

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Mar 6, 2023
Updated: Mar 6, 2023
SHA: b8e61328

Model card

From the Hugging Face model README

flan-t5-large-da-multiwoz2.0_800-new

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

Loss: 0.4114
Accuracy: 43.9201
Num: 3690
Gen Len: 15.5379

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
0.2469	0.6	400	0.3603	44.476	3690	15.4371
0.2329	1.19	800	0.3762	44.0606	3690	16.136
0.2181	1.79	1200	0.3740	43.4354	3690	15.3539
0.203	2.38	1600	0.3791	43.2672	3690	15.0631
0.198	2.98	2000	0.3820	44.501	3690	15.4458
0.1824	3.58	2400	0.3979	43.5607	3690	15.6407
0.1759	4.17	2800	0.4041	43.9889	3690	15.6244
0.171	4.77	3200	0.4113	43.979	3690	15.5192

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: t5
Created: Mar 6, 2023
Updated: Mar 6, 2023