Downloads · 30 days
8
11% of all-time downloads
llama3-8b-instruct-qlora-minute
nrishabh/llama3-8b-instruct-qlora-minute
llama3-8b-instruct-qlora-minute is a machine learning model from nrishabh. 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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
70
Public
Repo size
218 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors218 MB · 96%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 13, 2024
- Updated
- May 13, 2024
- SHA
- 4de04161
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. -->
llama3-8b-instruct-qlora-minute
This model is a fine-tuned version of LoftQ/Meta-Llama-3-8B-Instruct-4bit-64rank on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0351
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5186 | 1.0 | 6 | 2.0351 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- May 13, 2024
- Updated
- May 13, 2024