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flan-T5-ST-qg-LearningQ – AI Model by sidovic | AlphaNeural AI
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flan-T5-ST-qg-LearningQ
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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-adaFactor
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: 1.5395
Rouge1: 24.0287
Rouge2: 6.7319
Rougel: 21.6562
Rougelsum: 21.647
Gen Len: 15.9884
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: 0.001
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
1.5388
1.0
23583
1.5771
23.5397
6.5493
21.2296
21.2262
15.8911
1.404
2.0
47166
1.5395
24.0287
6.7319
21.6562
21.647
15.9884
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
