---
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- trl
- dpo
- generated_from_trainer
datasets:
- generator
model-index:
- name: d1
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stojchets/huggingface/runs/d1)
# d1

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1395
- Rewards/chosen: -0.1261
- Rewards/rejected: -19.6585
- Rewards/accuracies: 0.9737
- Rewards/margins: 19.5324
- Logps/rejected: -369.5529
- Logps/chosen: -169.7162
- Logits/rejected: -9.2987
- Logits/chosen: -8.0855

## 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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0841        | 1.7149 | 100  | 0.0542          | 0.8716         | -12.2566         | 0.9737             | 13.1282         | -295.5336      | -159.7391    | -16.8791        | -17.5293      |
| 0.0013        | 3.4298 | 200  | 0.1395          | -0.1261        | -19.6585         | 0.9737             | 19.5324         | -369.5529      | -169.7162    | -9.2987         | -8.0855       |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1