---
base_model: stabilityai/StableBeluga-13B
tags:
- generated_from_trainer
model-index:
- name: PE-13b-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PE-13b-lora

This model is a fine-tuned version of [stabilityai/StableBeluga-13B](https://huggingface.co/stabilityai/StableBeluga-13B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5704
- Rewards/chosen: 0.1581
- Rewards/rejected: -0.1076
- Rewards/accuracies: 0.9472
- Rewards/margins: 0.2658
- Logps/rejected: -73.1769
- Logps/chosen: -90.4042
- Logits/rejected: -1.7758
- Logits/chosen: -2.0462

## 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-07
- train_batch_size: 6
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.693         | 0.07  | 100  | 0.6933          | -0.0008        | -0.0005          | 0.4889             | -0.0003         | -72.1053       | -91.9932     | -1.7861         | -2.0525       |
| 0.69          | 0.14  | 200  | 0.6901          | 0.0031         | -0.0015          | 0.5611             | 0.0046          | -72.1153       | -91.9544     | -1.7859         | -2.0524       |
| 0.6842        | 0.21  | 300  | 0.6832          | 0.0139         | -0.0056          | 0.6917             | 0.0195          | -72.1567       | -91.8467     | -1.7847         | -2.0513       |
| 0.672         | 0.27  | 400  | 0.6718          | 0.0281         | -0.0131          | 0.8250             | 0.0412          | -72.2312       | -91.7049     | -1.7836         | -2.0504       |
| 0.6563        | 0.34  | 500  | 0.6575          | 0.0498         | -0.0211          | 0.8861             | 0.0709          | -72.3116       | -91.4876     | -1.7821         | -2.0494       |
| 0.6437        | 0.41  | 600  | 0.6416          | 0.0705         | -0.0340          | 0.9111             | 0.1044          | -72.4401       | -91.2810     | -1.7807         | -2.0486       |
| 0.6261        | 0.48  | 700  | 0.6277          | 0.0885         | -0.0435          | 0.9250             | 0.1320          | -72.5355       | -91.1010     | -1.7796         | -2.0478       |
| 0.6117        | 0.55  | 800  | 0.6127          | 0.1097         | -0.0567          | 0.9222             | 0.1664          | -72.6675       | -90.8891     | -1.7786         | -2.0474       |
| 0.6002        | 0.62  | 900  | 0.6019          | 0.1226         | -0.0683          | 0.9278             | 0.1909          | -72.7836       | -90.7598     | -1.7777         | -2.0468       |
| 0.5912        | 0.68  | 1000 | 0.5912          | 0.1344         | -0.0805          | 0.9333             | 0.2148          | -72.9053       | -90.6422     | -1.7770         | -2.0466       |
| 0.5822        | 0.75  | 1100 | 0.5822          | 0.1441         | -0.0909          | 0.9472             | 0.2350          | -73.0092       | -90.5447     | -1.7763         | -2.0462       |
| 0.5789        | 0.82  | 1200 | 0.5759          | 0.1517         | -0.0992          | 0.9333             | 0.2509          | -73.0923       | -90.4690     | -1.7763         | -2.0465       |
| 0.5689        | 0.89  | 1300 | 0.5722          | 0.1555         | -0.1033          | 0.9500             | 0.2588          | -73.1332       | -90.4305     | -1.7762         | -2.0465       |
| 0.5694        | 0.96  | 1400 | 0.5702          | 0.1579         | -0.1066          | 0.9417             | 0.2644          | -73.1662       | -90.4070     | -1.7761         | -2.0465       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1