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shawgpt-ft
MonsMayli/shawgpt-ft
shawgpt-ft is a machine learning model from MonsMayli. 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 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 44d93cfe
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: 1.3193
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: 0.0003
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.549 | 0.9231 | 3 | 3.7742 |
| 3.7071 | 1.8462 | 6 | 3.0015 |
| 2.9311 | 2.7692 | 9 | 2.4539 |
| 1.7517 | 4.0 | 13 | 1.9081 |
| 1.8423 | 4.9231 | 16 | 1.5904 |
| 1.4838 | 5.8462 | 19 | 1.4268 |
| 1.3316 | 6.7692 | 22 | 1.3723 |
| 0.9811 | 8.0 | 26 | 1.3355 |
| 1.2579 | 8.9231 | 29 | 1.3238 |
| 1.2023 | 9.8462 | 32 | 1.3183 |
| 1.195 | 10.7692 | 35 | 1.3164 |
| 0.8422 | 12.0 | 39 | 1.3119 |
| 1.1189 | 12.9231 | 42 | 1.3117 |
| 1.0709 | 13.8462 | 45 | 1.3142 |
| 1.0589 | 14.7692 | 48 | 1.3155 |
| 0.7875 | 16.0 | 52 | 1.3143 |
| 1.0142 | 16.9231 | 55 | 1.3172 |
| 0.9965 | 17.8462 | 58 | 1.3190 |
| 0.7023 | 18.4615 | 60 | 1.3193 |
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 24, 2024
- Updated
- Oct 24, 2024