Downloads · 30 days
4
16% of all-time downloads
content
anshikaagarwal/content
content is a machine learning model from anshikaagarwal. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Repo size
58.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.csv57 MB · 69%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024
- SHA
- bcad7601
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. -->
meta-llama/Llama-3.2-1B-Instruct
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset.
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.2
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024