---
library_name: transformers
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- trl
- kto
- generated_from_trainer
model-index:
- name: kto6
  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. -->

# kto6

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: -448.8974
- Eval/logps/chosen: -4526.3562
- Eval/rewards/rejected: -433.3957
- Eval/logps/rejected: -4408.4109
- Eval/rewards/margins: -15.5017
- 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: 0.05
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |     |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 0.5029        | 1.1552 | 100  | 0.5028          | 0.0 |
| 0.502         | 2.3105 | 200  | 0.5000          | 0.0 |
| 0.4998        | 3.4657 | 300  | 0.5000          | 0.0 |
| 0.5002        | 4.6209 | 400  | 0.5000          | 0.0 |
| 0.501         | 5.7762 | 500  | 0.5000          | 0.0 |
| 0.4994        | 6.9314 | 600  | 0.5000          | 0.0 |
| 0.4998        | 8.0866 | 700  | 0.5000          | 0.0 |
| 0.501         | 9.2419 | 800  | 0.5             | 0.0 |


### Framework versions

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