flan-t5-large-da-multiwoz2.1_400-ep10 – AI Model by Zekunli | AlphaNeural AI

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Zekunli/
flan-t5-large-da-multiwoz2.1_400-ep10

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text2text-generation

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text-generation-inference

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flan-t5-large-da-multiwoz2.1_400-ep10

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: 0.3731
Accuracy: 38.5004
Num: 7365
Gen Len: 15.7255

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: 48
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
1.19	1.16	200	0.5197	29.041	7365	13.9306
0.5494	2.33	400	0.4373	32.846	7365	15.4056
0.4725	3.49	600	0.4054	35.0281	7365	15.8865
0.4448	4.65	800	0.3899	36.8807	7365	16.027
0.4179	5.81	1000	0.3814	36.7527	7365	15.021
0.4048	6.98	1200	0.3766	37.2922	7365	15.6229
0.3902	8.14	1400	0.3731	38.5004	7365	15.7255
0.3851	9.3	1600	0.3720	38.4204	7365	15.7783

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1