ibtissam369
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AraT5v2-base-1024-finetuned-ALjazeera

text2text-generation

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text-generation-inference

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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

Downloads last month: 8

Safetensors

Model size

0.4B params

Tensor type

F32

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UBC-NLP/AraT5v2-base-1024

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