---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: deepseek-ai/deepseek-coder-1.3b-base
datasets:
- generator
model-index:
- name: hyperparam-rust-sft-lora
  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. -->

# hyperparam-rust-sft-lora

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: 0.4247

## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- lr_scheduler_warmup_steps: 20
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7919        | 0.3   | 25   | 0.5285          |
| 0.4811        | 0.59  | 50   | 0.4738          |
| 0.4512        | 0.89  | 75   | 0.4567          |
| 0.4367        | 1.18  | 100  | 0.4465          |
| 0.4162        | 1.48  | 125  | 0.4399          |
| 0.4188        | 1.77  | 150  | 0.4352          |
| 0.4127        | 2.07  | 175  | 0.4318          |
| 0.3981        | 2.37  | 200  | 0.4296          |
| 0.3887        | 2.66  | 225  | 0.4281          |
| 0.3943        | 2.96  | 250  | 0.4258          |
| 0.3808        | 3.25  | 275  | 0.4263          |
| 0.3836        | 3.55  | 300  | 0.4251          |
| 0.3824        | 3.84  | 325  | 0.4247          |
| 0.3782        | 4.14  | 350  | 0.4246          |
| 0.377         | 4.43  | 375  | 0.4247          |
| 0.3725        | 4.73  | 400  | 0.4247          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2