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