metadata
library_name: peft
license: mit
base_model: microsoft/phi-3-mini-128k-instruct
tags:
- base_model:adapter:microsoft/phi-3-mini-128k-instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: phi3-matplotlib-2ndepoch
results: []
phi3-matplotlib-2ndepoch
This model is a fine-tuned version of microsoft/phi-3-mini-128k-instruct 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.16.0
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2