flan-t5-large-da-multiwoz2.0_400-new

Zekunli/flan-t5-large-da-multiwoz2.0_400-new

flan-t5-large-da-multiwoz2.0_400-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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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Mar 6, 2023
Updated: Mar 6, 2023
SHA: aad287e0

Model card

From the Hugging Face model README

flan-t5-large-da-multiwoz2.0_400-new

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

Loss: 0.5549
Accuracy: 41.8963
Num: 3690
Gen Len: 15.5154

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
0.2518	1.17	400	0.4016	42.2397	3690	15.2057
0.219	2.33	800	0.4174	42.2063	3690	15.5122
0.1916	3.5	1200	0.4534	42.0205	3690	16.2089
0.1707	4.66	1600	0.4615	41.8799	3690	15.5564
0.1534	5.83	2000	0.4778	42.1433	3690	15.2282
0.1415	7.0	2400	0.5077	42.1549	3690	15.5642
0.1279	8.16	2800	0.5406	42.0254	3690	15.968
0.1242	9.33	3200	0.5480	42.1143	3690	15.6694

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