metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: out
results: []
out
This model is a fine-tuned version of microsoft/phi-2 on the open-assistant-guanaco dataset. It achieves the following results on the evaluation set:
- Loss: 0.2759
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 0.3107 | 0.5 | 276 | 0.3292 |
| 0.2879 | 1.0 | 552 | 0.3003 |
| 0.3 | 1.5 | 828 | 0.2873 |
| 0.3341 | 1.99 | 1104 | 0.2759 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0