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shawgpt-ft
jakobpi/shawgpt-ft
shawgpt-ft is a machine learning model from jakobpi. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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8.4 MB
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025
- SHA
- cff52ccb
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. -->
shawgpt-ft
This model is a fine-tuned version of TheBloke/CodeLlama-7B-Instruct-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5731
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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4192 | 1.0 | 4 | 3.1584 |
| 3.1603 | 2.0 | 8 | 3.0056 |
| 3.0463 | 3.0 | 12 | 2.8691 |
| 2.908 | 4.0 | 16 | 2.7622 |
| 2.8747 | 5.0 | 20 | 2.6774 |
| 2.7089 | 6.0 | 24 | 2.6155 |
| 2.6608 | 7.0 | 28 | 2.5795 |
| 2.6804 | 7.6154 | 30 | 2.5731 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- llama2
- Created
- Feb 7, 2025
- Updated
- Feb 7, 2025