---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: deepseek-ai/deepseek-coder-1.3b-instruct
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1804

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8004        | 0.01  | 25   | 1.8163          |
| 1.8977        | 0.01  | 50   | 1.6053          |
| 1.5414        | 0.02  | 75   | 1.4712          |
| 0.9012        | 0.02  | 100  | 1.3793          |
| 1.2741        | 0.03  | 125  | 1.3288          |
| 0.7702        | 0.04  | 150  | 1.2922          |
| 1.3633        | 0.04  | 175  | 1.2580          |
| 0.5385        | 0.05  | 200  | 1.2341          |
| 1.3172        | 0.06  | 225  | 1.2157          |
| 0.5901        | 0.06  | 250  | 1.2088          |
| 1.2612        | 0.07  | 275  | 1.1989          |
| 0.6468        | 0.07  | 300  | 1.1937          |
| 1.2991        | 0.08  | 325  | 1.1891          |
| 0.5557        | 0.09  | 350  | 1.1858          |
| 1.148         | 0.09  | 375  | 1.1838          |
| 0.634         | 0.1   | 400  | 1.1823          |
| 1.2453        | 0.1   | 425  | 1.1812          |
| 0.5921        | 0.11  | 450  | 1.1807          |
| 1.0155        | 0.12  | 475  | 1.1805          |
| 0.6354        | 0.12  | 500  | 1.1804          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0