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flan-t5-base-samsum – AI Model by snarasimhan | AlphaNeural AI
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flan-t5-base-samsum
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
samsum
google/flan-t5-base
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
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flan-t5-base-samsum
This model is a fine-tuned version of
google/flan-t5-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.3913
Rouge1: 46.5474
Rouge2: 22.9081
Rougel: 39.0584
Rougelsum: 42.9002
Gen Len: 17.2711
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.4504
1.0
1842
1.3913
46.5474
22.9081
39.0584
42.9002
17.2711
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
