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phi-finetuned
tathagatdev/phi-finetuned
phi-finetuned is a machine learning model from tathagatdev. 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 other.
should probably proofread and complete it, then remove this comment. --
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Repo size
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Repo makeup
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.safetensors21 MB · 86%
At a glance
- Library
- peft
- License
- other
- Model type
- phi-msft
- Access
- Public
- Created
- Dec 29, 2023
- Updated
- Dec 29, 2023
- SHA
- 19a2dfc2
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. -->
phi-finetuned
This model is a fine-tuned version of microsoft/phi-2 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- Type
- phi-msft
- License
- other
- Created
- Dec 29, 2023
- Updated
- Dec 29, 2023