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shawgpt-ft3
nour-sam/shawgpt-ft3
shawgpt-ft3 is a machine learning model from nour-sam. 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 22, 2024
- Updated
- Oct 22, 2024
- SHA
- a9cfbd51
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-ft3
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: 4.0882
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: 2e-05
- train_batch_size: 42
- eval_batch_size: 42
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 168
- 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 |
|---|---|---|---|
| 2.1584 | 1.0 | 1 | 4.2318 |
| 2.0801 | 2.0 | 2 | 4.2260 |
| 2.1425 | 3.0 | 3 | 4.2076 |
| 2.1384 | 4.0 | 4 | 4.1900 |
| 2.1016 | 5.0 | 5 | 4.1740 |
| 2.153 | 6.0 | 6 | 4.1593 |
| 2.0855 | 7.0 | 7 | 4.1459 |
| 2.0668 | 8.0 | 8 | 4.1338 |
| 2.0384 | 9.0 | 9 | 4.1226 |
| 2.1113 | 10.0 | 10 | 4.1130 |
| 2.0445 | 11.0 | 11 | 4.1049 |
| 2.0987 | 12.0 | 12 | 4.0984 |
| 2.0449 | 13.0 | 13 | 4.0931 |
| 2.0419 | 14.0 | 14 | 4.0899 |
| 2.0418 | 15.0 | 15 | 4.0882 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024