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t5-small-finetuned-xsum-ashish – AI Model by ashish23993 | AlphaNeural AI
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ashish23993
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t5-small-finetuned-xsum-ashish
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum-ashish
This model is a fine-tuned version of
t5-small
on an unknown dataset.
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: 16
eval_batch_size: 16
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
No log
1.0
8
2.2555
21.098
9.1425
17.7091
19.9721
19.0
Framework versions
Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
