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t5-base-msmarco-nlgen-cb – AI Model by din0s | AlphaNeural AI
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t5-base-msmarco-nlgen-cb
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
din0s/msmarco-nlgen
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-msmarco-nlgen-cb
This model is a fine-tuned version of
t5-base
on the
MS MARCO Natural Language Generation
dataset. It achieves the following results on the evaluation set:
Loss: 2.0571
Rougelsum: 24.7427
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rougelsum
2.1393
0.26
2500
2.1099
24.5028
2.1006
0.52
5000
2.0739
24.6017
2.0694
0.78
7500
2.0571
24.7427
Framework versions
Transformers 4.23.0.dev0
Pytorch 1.12.1+cu102
Datasets 2.4.0
Tokenizers 0.12.1
