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finetune-t5-base-on-opus100-Ar2En-with-lora
yasmineee/finetune-t5-base-on-opus100-Ar2En-with-lora
finetune-t5-base-on-opus100-Ar2En-with-lora is a machine learning model from yasmineee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Aug 9, 2024
- SHA
- d4430522
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
finetune-t5-base-on-opus100-Ar2En-with-lora
This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown 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: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 37
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jul 27, 2024
- Updated
- Aug 9, 2024