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flan-t5-base-2-6-xsum – AI Model by spacemanidol | AlphaNeural AI
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flan-t5-base-2-6-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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base-2-6
This model is a fine-tuned version of
x/base-2-6/
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 1.8375
Rouge1: 34.3246
Rouge2: 12.0978
Rougel: 26.9947
Rougelsum: 26.9862
Gen Len: 27.1963
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: 16
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 1.12.1+cu113
Datasets 2.10.0
Tokenizers 0.13.2
