---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-6.7b-base
tags:
- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: deepseek-coder-arc-agi-finetuned
  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. -->

# deepseek-coder-arc-agi-finetuned

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2030

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3396        | 0.4124 | 25   | 0.2842          |
| 0.2705        | 0.8247 | 50   | 0.2460          |
| 0.2194        | 1.2474 | 75   | 0.2340          |
| 0.2227        | 1.6598 | 100  | 0.2233          |
| 0.2913        | 2.0825 | 125  | 0.2158          |
| 0.2334        | 2.4948 | 150  | 0.2065          |
| 0.1901        | 2.9072 | 175  | 0.2030          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 4.1.1
- Tokenizers 0.21.1