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t5-base-prompter-aqua_300-repeated-ep2-all – AI Model by Zekunli | AlphaNeural AI
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t5-base-prompter-aqua_300-repeated-ep2-all
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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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t5-base-prompter-aqua_300-repeated-ep2-all
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3548
Rouge1: 41.1468
Rouge2: 31.6032
Rougel: 40.3499
Rougelsum: 40.3091
Gen Len: 13.9528
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.3368
1.61
200
0.3724
41.214
31.5869
40.3713
40.3303
13.9331
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.5.1
Tokenizers 0.12.1
