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ft-Llama2-with-alpaca-gpt4-lora
aisuko/ft-Llama2-with-alpaca-gpt4-lora
ft-Llama2-with-alpaca-gpt4-lora is a machine learning model from aisuko. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 57be207b
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. -->
ft-Llama2-with-alpaca-gpt4-lora
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the vicgalle/alpaca-gpt4 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 0.5
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024