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Llama-3-8B-Instruct-qlora-adapter
zhangjie6/Llama-3-8B-Instruct-qlora-adapter
Llama-3-8B-Instruct-qlora-adapter is a machine learning model from zhangjie6. 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 9, 2024
- Updated
- Jul 9, 2024
- SHA
- d7223d06
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. -->
Llama-3-8B-Instruct-qlora-adapter
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1380
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: 0.0001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8846 | 0.2395 | 10 | 0.5030 |
| 0.3505 | 0.4790 | 20 | 0.1996 |
| 0.1636 | 0.7186 | 30 | 0.1449 |
| 0.1429 | 0.9581 | 40 | 0.1380 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jul 9, 2024
- Updated
- Jul 9, 2024