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flan-t5-small-samsum – AI Model by VHRavi | AlphaNeural AI
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VHRavi
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flan-t5-small-samsum
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-small-samsum
This model is a fine-tuned version of
google/flan-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6727
Rouge1: 42.5037
Rouge2: 18.2575
Rougel: 35.0971
Rougelsum: 37.061
Gen Len: 16.7094
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
1.8308
1.0
1842
1.6727
42.5037
18.2575
35.0971
37.061
16.7094
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
