---
base_model: anthracite-org/magnum-v2-4b
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: magnum-4b-KTO-test
  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. -->

# magnum-4b-KTO-test

This model is a fine-tuned version of [anthracite-org/magnum-v2-4b](https://huggingface.co./anthracite-org/magnum-v2-4b) on the combined_new_22k.json dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5030
- Rewards/chosen: 0.0007
- Logps/chosen: -11.2857
- Rewards/rejected: -0.0006
- Logps/rejected: -10.6547
- Rewards/margins: 0.0013
- Kl: 0.0009

## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 48
- total_train_batch_size: 768
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl     |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:|
| 0.5042        | 0.2788 | 16   | 0.5038          | 0.0004         | -11.2884     | -0.0004          | -10.6529       | 0.0008          | 0.0022 |
| 0.5037        | 0.5575 | 32   | 0.5033          | 0.0006         | -11.2865     | -0.0008          | -10.6565       | 0.0014          | 0.0013 |
| 0.5035        | 0.8363 | 48   | 0.5041          | 0.0003         | -11.2899     | -0.0006          | -10.6546       | 0.0008          | 0.0016 |
| 0.5037        | 1.1151 | 64   | 0.5035          | 0.0005         | -11.2872     | -0.0005          | -10.6540       | 0.0011          | 0.0017 |
| 0.5036        | 1.3938 | 80   | 0.5036          | 0.0005         | -11.2874     | -0.0005          | -10.6535       | 0.0010          | 0.0010 |
| 0.5032        | 1.6726 | 96   | 0.5035          | 0.0006         | -11.2867     | -0.0005          | -10.6541       | 0.0011          | 0.0012 |
| 0.5036        | 1.9514 | 112  | 0.5037          | 0.0006         | -11.2869     | -0.0006          | -10.6546       | 0.0011          | 0.0009 |


### Framework versions

- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1