README.md

metadata

base_model: microsoft/Phi-3-mini-128k-instruct
library_name: peft
license: mit
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
    results: []

Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct 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: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• training_steps: 2

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.3.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2