phi1_5_alpaca_Qlora / README.md
rchadha134's picture
End of training
b574f4d
metadata
license: other
base_model: microsoft/phi-1_5
tags:
  - generated_from_trainer
model-index:
  - name: phi1_5_alpaca_Qlora
    results: []

phi1_5_alpaca_Qlora

This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9717

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.1046 0.16 1000 1.1014
0.9635 0.24 1500 1.0126
1.022 0.31 2000 0.9848
1.0402 0.39 2500 0.9818
0.9899 0.47 3000 0.9766
1.0379 0.55 3500 0.9752
1.0046 0.63 4000 0.9744
1.0452 0.71 4500 0.9738
1.0428 0.79 5000 0.9732
0.9916 0.86 5500 0.9721
1.0083 0.94 6000 0.9717

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0