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phi-2-disticoder-v0.1
plaguss/phi-2-disticoder-v0.1
phi-2-disticoder-v0.1 is a machine learning model from plaguss. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Model type
- phi
- Access
- Public
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024
- SHA
- 19ee70fd
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. -->
phi-2-disticoder-v0.1
This model is a fine-tuned version of microsoft/phi-2 on the argilla/DistiCoder-dpo-binarized 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: 2.5e-05
- 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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 100
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- Type
- phi
- License
- mit
- Created
- Feb 9, 2024
- Updated
- Feb 9, 2024