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flan-t5-base-samsum – AI Model by PamelaBorelli | AlphaNeural AI
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flan-t5-base-samsum
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-base-samsum
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3387
Rouge1: 47.2053
Rouge2: 23.6242
Rougel: 39.9217
Rougelsum: 43.3101
Gen Len: 16.6227
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: 1
eval_batch_size: 1
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
1.3346
1.0
14732
1.3387
47.2053
23.6242
39.9217
43.3101
16.6227
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
