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t5-small-finetuned-aspect_based_news_summary – AI Model by Ftmhd | AlphaNeural AI
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t5-small-finetuned-aspect_based_news_summary
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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-aspect_based_news_summary
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5400
Rouge1: 51.9048
Rouge2: 32.7805
Rougel: 50.0061
Rougelsum: 49.8124
Gen Len: 17.1963
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
120
1.6026
50.6671
31.3901
48.6643
48.6284
17.785
No log
2.0
240
1.5400
51.9048
32.7805
50.0061
49.8124
17.1963
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
