Downloads · 30 days
10
25% of all-time downloads
llama3-10p-adv
QinLiuNLP/llama3-10p-adv
llama3-10p-adv is a machine learning model from QinLiuNLP. 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 other.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
315 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors31.5 MB · 77%
At a glance
- Library
- peft
- License
- other
- Model type
- llama
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 12, 2024
- SHA
- d7c43f60
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. -->
llama3-10p-adv
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8721 | 1.0 | 974 | nan |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- llama
- License
- other
- Created
- May 12, 2024
- Updated
- May 12, 2024