Downloads · 30 days
6
40% of all-time downloads
mistral-finetune
yo25/mistral-finetune
mistral-finetune is a machine learning model from yo25. 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
16.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors8.4 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 2, 2024
- SHA
- c405f883
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. -->
mistral-finetune
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: 1.6845
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2887 | 0.9231 | 3 | 1.9163 |
| 2.21 | 1.8462 | 6 | 1.8534 |
| 2.1457 | 2.7692 | 9 | 1.8140 |
| 1.5818 | 4.0 | 13 | 1.7767 |
| 2.0802 | 4.9231 | 16 | 1.7466 |
| 2.0341 | 5.8462 | 19 | 1.7224 |
| 2.0253 | 6.7692 | 22 | 1.7043 |
| 1.4828 | 8.0 | 26 | 1.6902 |
| 1.9755 | 8.9231 | 29 | 1.6851 |
| 1.3922 | 9.2308 | 30 | 1.6845 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 2, 2024
- Updated
- May 2, 2024