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t5-small-finetuned-xsum – AI Model by UmarSk27 | AlphaNeural AI
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UmarSk27
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t5-small-finetuned-xsum
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transformers
tensorboard
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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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8695
Rouge1: 65.9456
Rouge2: 44.7989
Rougel: 64.9299
Rougelsum: 64.9316
Gen Len: 18.9442
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.0832
1.0
4912
0.8695
65.9456
44.7989
64.9299
64.9316
18.9442
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cpu
Datasets 2.15.0
Tokenizers 0.15.2
