Downloads · 30 days
5
33% of all-time downloads
mistral7binstruct_summarize
arthikrangan/mistral7binstruct_summarize
mistral7binstruct_summarize is a machine learning model from arthikrangan. 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
55.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors27.3 MB · 92%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- Apr 22, 2024
- SHA
- c1b92ec6
Base models
Datasets
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. -->
mistral7binstruct_summarize
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4108
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4943 | 0.2083 | 25 | 1.4200 |
| 1.5424 | 0.4167 | 50 | 1.4108 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 22, 2024