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opt125m-lora-pruned-wanda-4-8
clee9/opt125m-lora-pruned-wanda-4-8
opt125m-lora-pruned-wanda-4-8 is a machine learning model from clee9. 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
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 773f960e
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. -->
opt125m-lora-pruned-wanda-4-8
This model is a fine-tuned version of saresri/pruned_opt 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Evaluation Results (Validation): {'rouge1': 0.2974, 'rouge2': 0.08, 'rougeL': 0.19, 'rougeLsum': 0.2186}
Evaluation Results (Test): {'rouge1': 0.3165, 'rouge2': 0.1938, 'rougeL': 0.2721, 'rougeLsum': 0.2794}
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
- Library
- peft
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024