--- license: mit library_name: peft tags: - generated_from_trainer base_model: microsoft/phi-1_5 model-index: - name: phi-1_5-finetuned-qlora-cluster-gsm8k results: [] --- # phi-1_5-finetuned-qlora-cluster-gsm8k This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1536 ## 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: 8 - 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: cosine - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.0717 | 1.0 | 233 | 1.1424 | | 0.9785 | 2.0 | 467 | 1.1173 | | 0.9489 | 3.0 | 701 | 1.1147 | | 0.9226 | 4.0 | 935 | 1.1216 | | 0.8962 | 5.0 | 1168 | 1.1204 | | 0.8611 | 6.0 | 1402 | 1.1294 | | 0.8424 | 7.0 | 1636 | 1.1372 | | 0.8275 | 8.0 | 1870 | 1.1493 | | 0.8187 | 9.0 | 2103 | 1.1526 | | 0.8183 | 9.97 | 2330 | 1.1536 | ### Framework versions - PEFT 0.11.1 - Transformers 4.37.2 - Pytorch 2.3.0 - Datasets 2.19.1 - Tokenizers 0.15.1