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shawgpt-ft2
nour-sam/shawgpt-ft2
shawgpt-ft2 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
- be716d0a
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-ft2
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: 4.1637
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: 1e-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 | 4.2301 |
| 2.1449 | 3.0 | 3 | 4.2222 |
| 2.1468 | 4.0 | 4 | 4.2134 |
| 2.1144 | 5.0 | 5 | 4.2052 |
| 2.1713 | 6.0 | 6 | 4.1977 |
| 2.1064 | 7.0 | 7 | 4.1910 |
| 2.0914 | 8.0 | 8 | 4.1850 |
| 2.0655 | 9.0 | 9 | 4.1798 |
| 2.1435 | 10.0 | 10 | 4.1752 |
| 2.0765 | 11.0 | 11 | 4.1711 |
| 2.136 | 12.0 | 12 | 4.1683 |
| 2.0839 | 13.0 | 13 | 4.1657 |
| 2.0812 | 14.0 | 14 | 4.1642 |
| 2.081 | 15.0 | 15 | 4.1637 |
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