metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: ft-microsoft-phi-2
results: []
ft-microsoft-phi-2
This model is a fine-tuned version of microsoft/phi-2 on the g-ronimo/riddles_evolved dataset. It achieves the following results on the evaluation set:
- Loss: 1.5572
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: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.708 | 0.5 | 7 | 1.7003 |
| 1.6852 | 1.0 | 14 | 1.6505 |
| 1.5539 | 1.49 | 21 | 1.6054 |
| 1.5387 | 1.99 | 28 | 1.5572 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2