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flan-t5-large-5-5-xsum – AI Model by spacemanidol | AlphaNeural AI
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flan-t5-large-5-5-xsum
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
xsum
model-index
text-generation-inference
endpoints_compatible
us
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large-5-5
This model is a fine-tuned version of
x/large-5-5/
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 1.5113
Rouge1: 42.4829
Rouge2: 19.1818
Rougel: 34.6161
Rougelsum: 34.6157
Gen Len: 25.8424
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: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 3.0
Training results
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.10.0
Tokenizers 0.13.2
