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codellama2-ARM
gokul00060/codellama2-ARM
codellama2-ARM is a machine learning model from gokul00060. 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 Dec 12, 2023
Repo size
470 MB
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Repo makeup
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At a glance
- License
- llama2
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 12, 2023
- SHA
- a08998bc
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. -->
codellama2-ARM
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- llama2
- Created
- Dec 12, 2023
- Updated
- Dec 12, 2023