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llm-jp-3-13b-instruct-lora-multinode-500k
yt765/llm-jp-3-13b-instruct-lora-multinode-500k
llm-jp-3-13b-instruct-lora-multinode-500k is a machine learning model from yt765. 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. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 18, 2025
- Updated
- Jan 18, 2025
- SHA
- 546650b4
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. -->
llm-jp-3-13b-instruct-lora-multinode-500k
This model is a fine-tuned version of llm-jp/llm-jp-3-13b-instruct on the generator 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 56
- gradient_accumulation_steps: 2
- total_train_batch_size: 1792
- total_eval_batch_size: 448
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.5.1+cu124
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Jan 18, 2025
- Updated
- Jan 18, 2025