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flan-t5-xl-samsum – AI Model by epinnock | AlphaNeural AI
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flan-t5-xl-samsum
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
samsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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flan-t5-xl-samsum
This model is a fine-tuned version of
google/flan-t5-xl
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 49.0281
Rouge2: 25.8273
Rougel: 41.7919
Rougelsum: 45.2608
Gen Len: 16.6874
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: 3e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
3683
nan
49.0281
25.8273
41.7919
45.2608
16.6874
0.0
2.0
7366
nan
49.0281
25.8273
41.7919
45.2608
16.6874
Framework versions
Transformers 4.26.0
Pytorch 1.12.0+cu116
Datasets 2.9.0
Tokenizers 0.12.1
