flan-t5-large-da-multiwoz2.1_400-loss-ep50 – AI Model by Zekunli | AlphaNeural AI

You can deploy this model and start earning money today!

Zekunli/
flan-t5-large-da-multiwoz2.1_400-loss-ep50

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

flan-t5-large-da-multiwoz2.1_400-loss-ep50

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3664
Accuracy: 41.1172
Num: 7365
Gen Len: 15.7299

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: 24
eval_batch_size: 192
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Num	Gen Len
1.1147	1.74	200	0.4745	31.5892	7365	15.6221
0.5089	3.48	400	0.4116	33.9236	7365	15.4714
0.4429	5.22	600	0.3875	36.3199	7365	16.0663
0.4049	6.96	800	0.3784	37.5867	7365	15.0832
0.3777	8.7	1000	0.3717	37.7875	7365	15.0001
0.3562	10.43	1200	0.3692	39.6733	7365	15.9566
0.343	12.17	1400	0.3665	39.9906	7365	15.65
0.3263	13.91	1600	0.3731	39.9249	7365	15.7365
0.3103	15.65	1800	0.3664	41.1172	7365	15.7299
0.3036	17.39	2000	0.3715	40.9342	7365	15.4845
0.2876	19.13	2200	0.3763	40.8108	7365	15.6081
0.2816	20.87	2400	0.3802	41.5156	7365	15.9868
0.2685	22.61	2600	0.3936	41.4108	7365	15.8193
0.2603	24.35	2800	0.3925	41.5357	7365	15.7604

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1