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---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi-2-sft-alpaca_gpt4_en-1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-sft-alpaca_gpt4_en-1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co./microsoft/phi-2) on the alpaca_gpt4_en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8625
## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0325 | 0.07 | 200 | 0.8922 |
| 0.9136 | 0.14 | 400 | 0.8801 |
| 0.9043 | 0.21 | 600 | 0.8753 |
| 0.8903 | 0.27 | 800 | 0.8711 |
| 0.9056 | 0.34 | 1000 | 0.8683 |
| 0.9001 | 0.41 | 1200 | 0.8673 |
| 0.8949 | 0.48 | 1400 | 0.8668 |
| 0.8917 | 0.55 | 1600 | 0.8656 |
| 0.8951 | 0.62 | 1800 | 0.8648 |
| 0.9014 | 0.68 | 2000 | 0.8637 |
| 0.8874 | 0.75 | 2200 | 0.8630 |
| 0.8968 | 0.82 | 2400 | 0.8628 |
| 0.8755 | 0.89 | 2600 | 0.8626 |
| 0.9029 | 0.96 | 2800 | 0.8625 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0 |