---
library_name: transformers
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- trl
- kto
- generated_from_trainer
model-index:
- name: kto2
  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. -->

# kto2

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5
- Eval/rewards/chosen: -1151.2938
- Eval/logps/chosen: -11550.3197
- Eval/rewards/rejected: -1115.2082
- Eval/logps/rejected: -11226.5358
- Eval/rewards/margins: -36.0856
- Eval/kl: 0.0

## 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: 0.07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |     |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 0.498         | 1.1552 | 100  | 0.5             | 0.0 |
| 0.4992        | 2.3105 | 200  | 0.5             | 0.0 |
| 0.4982        | 3.4657 | 300  | 0.5             | 0.0 |
| 0.5001        | 4.6209 | 400  | 0.5             | 0.0 |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 2.19.2
- Tokenizers 0.20.3