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t5-base-da-multiwoz2.1_500 – AI Model by Zekunli | AlphaNeural AI
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t5-base-da-multiwoz2.1_500
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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t5-base-da-multiwoz2.1_500
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4253
Accuracy: 22.6359
Num: 3689
Gen Len: 15.4806
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: 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
0.5137
2.78
400
0.4454
21.1276
3689
15.569
0.4673
5.56
800
0.4329
21.7406
3689
15.4573
0.4591
8.33
1200
0.4253
22.6359
3689
15.4806
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1
