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t5-small-finetuned-cnn-news – AI Model by shubh711 | AlphaNeural AI
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shubh711
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t5-small-finetuned-cnn-news
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transformers
tensorboard
safetensors
t5
text2text-generation
summarization
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-cnn-news
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1121
Rouge1: 23.04
Rouge2: 8.36
Rougel: 18.54
Rougelsum: 20.84
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: 0.00056
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 0.02
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
No log
0.0209
15
2.1121
23.04
8.36
18.54
20.84
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
