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flan-t5-base-samsum – AI Model by parikshit07 | AlphaNeural AI
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flan-t5-base-samsum
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transformers
pytorch
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 the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0017
Rouge1: 50.9627
Rouge2: 49.0896
Rougel: 50.9743
Rougelsum: 50.9574
Gen Len: 19.0
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
401
0.0025
50.9333
49.0557
50.9385
50.9245
19.0
0.1317
2.0
802
0.0017
50.9627
49.0896
50.9743
50.9574
19.0
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
