Downloads · 30 days
7
25% of all-time downloads
shawgpt-ft
AndersNielsen/shawgpt-ft
shawgpt-ft is a machine learning model from AndersNielsen. 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. --
All-time downloads
28
Public
Repo size
25.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.8 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 7f5cd8bd
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: 1.4738
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: 0.0001
- 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 |
|---|---|---|---|
| 4.6196 | 0.9231 | 3 | 4.1001 |
| 4.3204 | 1.8462 | 6 | 3.8081 |
| 3.9701 | 2.7692 | 9 | 3.5253 |
| 2.721 | 4.0 | 13 | 3.1570 |
| 3.329 | 4.9231 | 16 | 2.9058 |
| 3.0229 | 5.8462 | 19 | 2.6830 |
| 2.7687 | 6.7692 | 22 | 2.4873 |
| 1.9015 | 8.0 | 26 | 2.2572 |
| 2.3231 | 8.9231 | 29 | 2.0842 |
| 2.0802 | 9.8462 | 32 | 1.9251 |
| 1.9463 | 10.7692 | 35 | 1.8215 |
| 1.3485 | 12.0 | 39 | 1.7140 |
| 1.7274 | 12.9231 | 42 | 1.6481 |
| 1.6266 | 13.8462 | 45 | 1.5914 |
| 1.579 | 14.7692 | 48 | 1.5464 |
| 1.1539 | 16.0 | 52 | 1.5070 |
| 1.488 | 16.9231 | 55 | 1.4877 |
| 1.4566 | 17.8462 | 58 | 1.4766 |
| 1.0211 | 18.4615 | 60 | 1.4738 |
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