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t5-small-finetuned-xsum – AI Model by ownimage | AlphaNeural AI
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t5-small-finetuned-xsum
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transformers
pytorch
safetensors
t5
text2text-generation
generated_from_trainer
xsum
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4781
Rouge1: 28.2579
Rouge2: 7.7294
Rougel: 22.2389
Rougelsum: 22.2421
Gen Len: 18.8265
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
2.7085
1.0
12753
2.4781
28.2579
7.7294
22.2389
22.2421
18.8265
Framework versions
Transformers 4.36.1
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
