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summarization_ – AI Model by Sif10 | AlphaNeural AI
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Sif10
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summarization_
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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summarization_
This model is a fine-tuned version of
google-t5/t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2707
Rouge1: 0.3284
Rouge2: 0.2294
Rougel: 0.3018
Rougelsum: 0.3019
Gen Len: 18.9762
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.3867
1.0
6283
0.2707
0.3284
0.2294
0.3018
0.3019
18.9762
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
