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---
language:
- en
library_name: peft
tags:
- generated_from_trainer
datasets:
- Open-Orca/OpenOrca
base_model: microsoft/phi-2
model-index:
- name: phi-2
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
This model is a fine-tuned version of [microsoftl](https://huggingface.co/microsoftl) on the Open-Orca/OpenOrca dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6236
## 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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0884 | 0.2 | 50 | 1.9608 |
| 2.0157 | 0.4 | 100 | 1.7828 |
| 1.6203 | 0.6 | 150 | 1.7023 |
| 1.7122 | 0.8 | 200 | 1.6731 |
| 1.6622 | 1.0 | 250 | 1.6593 |
| 1.6149 | 1.2 | 300 | 1.6532 |
| 1.5907 | 1.4 | 350 | 1.6480 |
| 1.5713 | 1.6 | 400 | 1.6429 |
| 1.5579 | 1.8 | 450 | 1.6394 |
| 1.6403 | 2.0 | 500 | 1.6361 |
| 1.6505 | 2.2 | 550 | 1.6334 |
| 1.5505 | 2.4 | 600 | 1.6315 |
| 1.5232 | 2.6 | 650 | 1.6300 |
| 1.6129 | 2.8 | 700 | 1.6278 |
| 1.5062 | 3.0 | 750 | 1.6267 |
| 1.6031 | 3.2 | 800 | 1.6254 |
| 1.5404 | 3.4 | 850 | 1.6254 |
| 1.6157 | 3.6 | 900 | 1.6242 |
| 1.5541 | 3.8 | 950 | 1.6238 |
| 1.471 | 4.0 | 1000 | 1.6236 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |