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starling-lora
donghocha/starling-lora
starling-lora is a machine learning model from donghocha. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 31, 2024
- Updated
- Nov 1, 2024
- SHA
- 9ad1eaef
Base models
Datasets
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. -->
starling-lora
This model is a fine-tuned version of Nexusflow/Starling-LM-7B-beta on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1048
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.416 | 2.7586 | 20 | 1.1396 |
| 2.3556 | 5.5172 | 40 | 0.1913 |
| 0.28 | 8.2759 | 60 | 0.0993 |
| 0.1179 | 11.0345 | 80 | 0.1048 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 31, 2024
- Updated
- Nov 1, 2024