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Fine-tuned-Zephyr7B
HugThang/Fine-tuned-Zephyr7B
Fine-tuned-Zephyr7B is a machine learning model from HugThang. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 2, 2024
- SHA
- 90b897b0
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. -->
Fine-tuned-Zephyr7B
This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7121
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9911 | 0.0186 | 50 | 0.7504 |
| 0.7259 | 0.0372 | 100 | 0.7121 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- May 2, 2024
- Updated
- May 2, 2024