Downloads · 30 days
2
2% of all-time downloads
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02
nelkh/pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02 is a machine learning model from nelkh. 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
101
Public
Repo size
19.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors18.9 MB · 87%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- 5c44b51e
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. -->
pgd_mistral_8bits_lr0.0002_alpha32_rk8_do0.1_wd1.0e-02
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7862
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1023 | 0.9778 | 11 | 2.2315 |
| 1.8596 | 1.9556 | 22 | 1.1833 |
| 1.0222 | 2.9333 | 33 | 0.8672 |
| 0.7647 | 4.0 | 45 | 0.8008 |
| 0.7791 | 4.9778 | 56 | 0.7832 |
| 0.763 | 5.9556 | 67 | 0.7755 |
| 0.743 | 6.9333 | 78 | 0.7743 |
| 0.6757 | 8.0 | 90 | 0.7780 |
| 0.721 | 8.9778 | 101 | 0.7850 |
| 0.6752 | 9.7778 | 110 | 0.7862 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.43.4
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024