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flan-t5-large-3-3-xsum – AI Model by spacemanidol | AlphaNeural AI

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spacemanidol/
flan-t5-large-3-3-xsum

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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large-3-3

This model is a fine-tuned version of x/large-3-3/ on the xsum dataset. It achieves the following results on the evaluation set:

Loss: 1.7469
Rouge1: 38.9375
Rouge2: 15.8853
Rougel: 31.2177
Rougelsum: 31.2093
Gen Len: 26.5882

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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
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