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groove-lora
wilzh40/groove-lora
groove-lora is a machine learning model from wilzh40. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Jan 4, 2024
Repo size
12.6 GB
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Repo makeup
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At a glance
- License
- llama2
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Jan 4, 2024
- SHA
- 5b05759b
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. -->
groove-lora
This model is a fine-tuned version of codellama/CodeLlama-7b-hf 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 80
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- License
- llama2
- Created
- Dec 26, 2023
- Updated
- Jan 4, 2024