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flan-t5-small-samsum – AI Model by epinnock | AlphaNeural AI
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epinnock
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flan-t5-small-samsum
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-small-samsum
This model is a fine-tuned version of
google/flan-t5-small
on the samsum dataset.
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: 32
eval_batch_size: 32
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
461
nan
41.7065
17.7336
34.2478
38.1372
16.8864
Framework versions
Transformers 4.26.0
Pytorch 1.12.0+cu116
Datasets 2.9.0
Tokenizers 0.12.1
