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---
license: other
base_model: microsoft/phi-2
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrachat_200k
model-index:
- name: phi-sft-lora
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-sft-lora
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the HuggingFaceH4/ultrachat_200k dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2210
## 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: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.1971 | 0.05 | 10000 | 1.2409 |
| 1.1911 | 0.1 | 20000 | 1.2349 |
| 1.4103 | 0.14 | 30000 | 1.2317 |
| 1.192 | 0.19 | 40000 | 1.2295 |
| 1.4831 | 0.24 | 50000 | 1.2275 |
| 1.2857 | 0.29 | 60000 | 1.2266 |
| 1.014 | 0.34 | 70000 | 1.2256 |
| 1.2777 | 0.38 | 80000 | 1.2251 |
| 0.9019 | 0.43 | 90000 | 1.2241 |
| 1.1926 | 0.48 | 100000 | 1.2235 |
| 1.2298 | 0.53 | 110000 | 1.2233 |
| 1.1102 | 0.58 | 120000 | 1.2228 |
| 1.3166 | 0.63 | 130000 | 1.2219 |
| 1.1452 | 0.67 | 140000 | 1.2217 |
| 1.308 | 0.72 | 150000 | 1.2217 |
| 0.9096 | 0.77 | 160000 | 1.2215 |
| 1.2817 | 0.82 | 170000 | 1.2211 |
| 1.2904 | 0.87 | 180000 | 1.2211 |
| 0.9066 | 0.91 | 190000 | 1.2210 |
| 1.1807 | 0.96 | 200000 | 1.2210 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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