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flan-t5-qg-LearningQ-tarek-test – AI Model by sidovic | AlphaNeural AI
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flan-t5-qg-LearningQ-tarek-test
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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-qg-LearningQ-tarek-test
This model is a fine-tuned version of
google/flan-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5467
Rouge1: 23.3609
Rouge2: 6.4496
Rougel: 21.0496
Rougelsum: 21.0448
Gen Len: 16.0969
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
1.6121
1.0
23583
1.5712
23.2734
6.348
20.9409
20.9334
16.1707
1.5369
2.0
47166
1.5467
23.3609
6.4496
21.0496
21.0448
16.0969
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
