Downloads · 30 days
2
13% of all-time downloads
shawgpt-ft-optuna-best-3
Shaurya-Shsin/shawgpt-ft-optuna-best-3
shawgpt-ft-optuna-best-3 is a machine learning model from Shaurya-Shsin. 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
15
Public
Repo size
105 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors42 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Oct 19, 2024
- SHA
- d1686e4f
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-optuna-best-3
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: 1.3107
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: 0.00036728144071713326
- 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 |
|---|---|---|---|
| 4.5493 | 0.9231 | 3 | 3.7572 |
| 3.6403 | 1.8462 | 6 | 2.8928 |
| 2.7936 | 2.7692 | 9 | 2.3274 |
| 1.591 | 4.0 | 13 | 1.7051 |
| 1.6466 | 4.9231 | 16 | 1.4823 |
| 1.3941 | 5.8462 | 19 | 1.3940 |
| 1.2989 | 6.7692 | 22 | 1.3560 |
| 0.9649 | 8.0 | 26 | 1.3273 |
| 1.2462 | 8.9231 | 29 | 1.3188 |
| 1.1986 | 9.8462 | 32 | 1.3145 |
| 1.2022 | 10.7692 | 35 | 1.3127 |
| 0.8596 | 12.0 | 39 | 1.3112 |
| 1.1609 | 12.9231 | 42 | 1.3109 |
| 0.9616 | 13.8462 | 45 | 1.3107 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 17, 2024
- Updated
- Oct 19, 2024