metadata

base_model: microsoft/Phi-3-mini-4k-instruct
library_name: peft
license: other
metrics:
  - accuracy
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: 2024-09-12_16:02
    results: []

2024-09-12_16:02

This model is a fine-tuned version of ./models//microsoft/Phi-3-mini-4k-instruct on the coding dataset. It achieves the following results on the evaluation set:

Loss: 1.5729
Accuracy: 0.5958

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5967	0.0356	4	1.5761	0.5944

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1