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araT5-Base-with-LoRA
yasmineee/araT5-Base-with-LoRA
araT5-Base-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
- Aug 29, 2024
- Updated
- Sep 7, 2024
- SHA
- 83b5a87e
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. -->
araT5-Base-with-LoRA
This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1185
- Bleu: 12.5314
- Rouge: 0.5045
- Gen Len: 14.066
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: 0.0002
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 4.2656 | 1.0 | 7500 | 2.6346 | 9.6457 | 0.4263 | 14.0196 |
| 3.2885 | 2.0 | 15000 | 2.3718 | 10.7953 | 0.4683 | 14.1228 |
| 3.0225 | 3.0 | 22500 | 2.2546 | 11.4633 | 0.4853 | 14.0032 |
| 2.865 | 4.0 | 30000 | 2.1520 | 12.0114 | 0.4999 | 13.9988 |
| 2.747 | 5.0 | 37500 | 2.1185 | 12.5314 | 0.5045 | 14.066 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Aug 29, 2024
- Updated
- Sep 7, 2024