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t5-aramco-news – AI Model by zakiravian | AlphaNeural AI
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zakiravian
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t5-aramco-news
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transformers
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-aramco-news
This model is a fine-tuned version of
google-t5/t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.1047
Rouge1: 13.0173
Rouge2: 6.3034
Rougel: 12.1769
Rougelsum: 13.0173
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
No log
1.0
8
4.1414
12.0370
5.1987
8.9120
12.0370
No log
2.0
16
3.8934
12.0370
5.1987
8.9120
12.0370
No log
3.0
24
3.8055
12.0370
5.1987
8.9120
12.0370
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
