Downloads · 30 days
20
26% of all-time downloads
chess-sft-lora-adapter
mkopecki/chess-sft-lora-adapter
chess-sft-lora-adapter is a machine learning model from mkopecki. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
77
Public
Repo size
45.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5.5 GB · 100%
At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Jul 14, 2024
- Updated
- Jul 15, 2024
- SHA
- 6738f928
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. -->
chess-sft-lora-adapter
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Jul 14, 2024
- Updated
- Jul 15, 2024