Downloads · 30 days
6
9% of all-time downloads
mistral_instruct_generation
lakelz/mistral_instruct_generation
mistral_instruct_generation is a machine learning model from lakelz. 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
70
Public
Repo size
12.8 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 99%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023
- SHA
- 2741a84e
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_instruct_generation
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3372
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5068 | 0.08 | 20 | 1.3676 |
| 1.404 | 0.16 | 40 | 1.3359 |
| 1.3731 | 0.24 | 60 | 1.3268 |
| 1.3556 | 0.32 | 80 | 1.3284 |
| 1.2962 | 0.4 | 100 | 1.3372 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023