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AraT5v2-base-1024-finetuned-ALjazeera – AI Model by ibtissam369 | AlphaNeural AI
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AraT5v2-base-1024-finetuned-ALjazeera
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
UBC-NLP/AraT5v2-base-1024
finetune
text-generation-inference
endpoints_compatible
us
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AraT5v2-base-1024-finetuned-ALjazeera
This model is a fine-tuned version of
UBC-NLP/AraT5v2-base-1024
on the None dataset.
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: 4
eval_batch_size: 4
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
No log
1.0
65
3.9129
0.0
0.0
0.0
0.0
10.9062
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0
