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shawgpt-ft
laurabraad/shawgpt-ft
shawgpt-ft is a machine learning model from laurabraad. 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 14, 2024
- Updated
- Oct 23, 2024
- SHA
- b995cc77
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/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3677
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5914 | 0.9231 | 3 | 3.9644 |
| 4.0304 | 1.8462 | 6 | 3.4213 |
| 3.421 | 2.7692 | 9 | 2.9323 |
| 2.1884 | 4.0 | 13 | 2.4615 |
| 2.5268 | 4.9231 | 16 | 2.1728 |
| 2.1377 | 5.8462 | 19 | 1.8943 |
| 1.8132 | 6.7692 | 22 | 1.7114 |
| 1.2397 | 8.0 | 26 | 1.5355 |
| 1.497 | 8.9231 | 29 | 1.4515 |
| 1.4006 | 9.8462 | 32 | 1.4148 |
| 1.3872 | 10.7692 | 35 | 1.3924 |
| 0.9919 | 12.0 | 39 | 1.3765 |
| 1.3347 | 12.9231 | 42 | 1.3702 |
| 1.1087 | 13.8462 | 45 | 1.3677 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 14, 2024
- Updated
- Oct 23, 2024