Downloads · 30 days
7
35% of all-time downloads
FineTuned-mistral-2-nada
Nada81/FineTuned-mistral-2-nada
FineTuned-mistral-2-nada is a machine learning model from Nada81. 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
20
Public
Repo size
110 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors109 MB · 97%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024
- SHA
- 75806386
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. -->
FineTuned-mistral-2-nada
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7329
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8343 | 1.0 | 112 | 0.7998 |
| 0.6658 | 2.0 | 225 | 0.7115 |
| 0.5842 | 3.0 | 337 | 0.7209 |
| 0.536 | 3.98 | 448 | 0.7329 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024