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saadtextsummarize – AI Model by saadusheikhwork | AlphaNeural AI
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saadtextsummarize
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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saadtextsummarize
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.1895
Rouge1: 0.0530
Rouge2: 0.0134
Rougel: 0.0397
Rougelsum: 0.0530
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
No log
1.0
1
9.3990
0.0526
0.0133
0.0395
0.0526
No log
2.0
2
9.2566
0.0526
0.0133
0.0395
0.0526
No log
3.0
3
9.1895
0.0530
0.0134
0.0397
0.0530
Framework versions
Transformers 4.48.1
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0
