Downloads · 30 days
6
43% of all-time downloads
shawgpt-ft-lr-wd
tenna18/shawgpt-ft-lr-wd
shawgpt-ft-lr-wd is a machine learning model from tenna18. 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
14
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 22, 2024
- Updated
- Oct 22, 2024
- SHA
- aa62ed8d
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-lr-wd
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: 1.3657
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 |
|---|---|---|---|
| 4.5911 | 0.9231 | 3 | 3.9634 |
| 4.036 | 1.8462 | 6 | 3.4282 |
| 3.4297 | 2.7692 | 9 | 2.9381 |
| 2.1902 | 4.0 | 13 | 2.4537 |
| 2.5076 | 4.9231 | 16 | 2.1448 |
| 2.0941 | 5.8462 | 19 | 1.8610 |
| 1.772 | 6.7692 | 22 | 1.6791 |
| 1.2098 | 8.0 | 26 | 1.5110 |
| 1.4682 | 8.9231 | 29 | 1.4367 |
| 1.3801 | 9.8462 | 32 | 1.4046 |
| 1.3772 | 10.7692 | 35 | 1.3865 |
| 0.9889 | 12.0 | 39 | 1.3730 |
| 1.3345 | 12.9231 | 42 | 1.3678 |
| 1.1086 | 13.8462 | 45 | 1.3657 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024