flan-t5-large-da-multiwoz2.1_80-ep50-nonstop – AI Model by Zekunli | AlphaNeural AI

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flan-t5-large-da-multiwoz2.1_80-ep50-nonstop

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flan-t5-large-da-multiwoz2.1_80-ep50-nonstop

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: 0.5542
Accuracy: 35.5319
Num: 7365
Gen Len: 15.843

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: 16
eval_batch_size: 64
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
0.8604	10.81	400	0.4589	33.6594	7365	15.912
0.3774	21.62	800	0.4708	35.1632	7365	15.7984
0.2827	32.43	1200	0.5212	35.4708	7365	15.7033
0.235	43.24	1600	0.5512	35.2657	7365	15.7203

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1