---
library_name: transformers
license: other
base_model: deepseek-ai/deepseek-coder-7b-base-v1.5
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: deepseek_coder_7b_apps_sft
  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_7b_apps_sft

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-7b-base-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-base-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7821

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.7137        | 5.5818  | 100  | 0.7307          |
| 0.6296        | 11.1164 | 200  | 0.7471          |
| 0.5899        | 16.6982 | 300  | 0.7680          |
| 0.5761        | 22.2327 | 400  | 0.7791          |
| 0.5599        | 27.8145 | 500  | 0.7821          |


### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 2.19.1
- Tokenizers 0.21.4