Downloads · 30 days
9
16% of all-time downloads
Phi2-Osst
RaviNaik/Phi2-Osst
Phi2-Osst is a machine learning model from RaviNaik. 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. --
All-time downloads
56
Public
Repo size
336 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors336 MB · 99%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- 987f0bdc
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. -->
results
This model is a fine-tuned version of microsoft/phi-2 on an unknown 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: 8
- eval_batch_size: 16
- 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: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.4
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024