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flan-t5-qg-test-LQ-v1 – AI Model by tarek23 | AlphaNeural AI
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tarek23
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flan-t5-qg-test-LQ-v1
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-qg-test-LQ-v1
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: 2.3976
Rouge1: 23.3283
Rouge2: 6.3111
Rougel: 21.0183
Rougelsum: 21.0191
Gen Len: 16.2723
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
2.4384
1.0
23583
2.4275
23.1862
6.2062
20.8927
20.887
16.0677
2.3878
2.0
47166
2.3976
23.3283
6.3111
21.0183
21.0191
16.2723
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
