---
library_name: transformers
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: sft6
  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. -->

# sft6

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2783

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.072         | 0.5776 | 100  | 4.6165          |
| 4.7006        | 1.1552 | 200  | 5.2319          |
| 4.877         | 1.7329 | 300  | 4.8986          |
| 4.92          | 2.3105 | 400  | 4.6126          |
| 4.7913        | 2.8881 | 500  | 4.7317          |
| 4.4665        | 3.4657 | 600  | 4.2783          |


### Framework versions

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