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flan-t5-large-da-multiwoz2.1_80-ep25-nonstop – AI Model by Zekunli | AlphaNeural AI
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flan-t5-large-da-multiwoz2.1_80-ep25-nonstop
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-large-da-multiwoz2.1_80-ep25-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: 0.4562
Accuracy: 34.0522
Num: 7365
Gen Len: 15.9048
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: 25
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Num
Gen Len
0.8766
10.81
400
0.4640
33.3924
7365
16.2136
0.417
21.62
800
0.4552
34.0814
7365
15.8768
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1
