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LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
iagoalves/LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant is a machine learning model from iagoalves. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Jan 14, 2024
- Updated
- Jan 15, 2024
- SHA
- b9ae6be5
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. -->
LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
This model is a fine-tuned version of TheBloke/LLaMA-Pro-8B-Instruct-GPTQ 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- training_steps: 1200
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- llama2
- Created
- Jan 14, 2024
- Updated
- Jan 15, 2024