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zephyr-7b-sft-qlora
YuanZ77/zephyr-7b-sft-qlora
zephyr-7b-sft-qlora is a machine learning model from YuanZ77. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- d952e72c
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. -->
zephyr-7b-sft-qlora
This model is a fine-tuned version of LLM-PBE/Llama3.1-8b-instruct-LLMPC-Red-Team on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2536
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3835 | 1.0 | 41 | 0.3792 |
| 0.3431 | 2.0 | 82 | 0.3488 |
| 0.2489 | 3.0 | 123 | 0.2568 |
| 0.2468 | 4.0 | 164 | 0.2538 |
| 0.2454 | 5.0 | 205 | 0.2536 |
Framework versions
- PEFT 0.10.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
- Library
- peft
- License
- llama3.1
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024