metadata
base_model: microsoft/Phi-3-mini-128k-instruct
datasets:
- generator
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: outputs
results: []
outputs
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the generator 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: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.38.1
- Pytorch 2.4.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2