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

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

flan-t5-base-da-multiwoz2.0_80-loss-ep100 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. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 5, 2023
Updated: Apr 5, 2023
SHA: d659ef72

Model card

From the Hugging Face model README

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

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 5, 2023
Updated: Apr 5, 2023